September 2018 E-Letter

Issue Number: 
Issue Date: 
September 2018
E-LETTER on Systems, Control, and Signal Processing
Issue 361
September 2018 - pdf version
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    Electronic Publications Editor; Editor, E-Letter; Webmaster
E-LETTER on Systems, Control, and Signal Processing
Issue 361
September 2018

Jianghai Hu
School of Electrical and Computer Engineering
Purdue University
465 Northwestern Ave.
West Lafayette, IN, 47907
Tel: +1 (765) 4962395
Fax: +1 (765) 4943371

Welcome to the 361 issue of the E-letter, available electronically at
together with its pdf version

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And, as always, search for .** to navigate to the next item in the Eletter.

The next E-letter will be mailed out at the beginning of October 2018.


1. IEEE CSS Headlines
1.1 CFP: CSS Outreach Fund
1.2 IEEE Control Systems Society Technically Cosponsored Conferences
1.3 IEEE Transactions on Automatic Control
1.4 IEEE Transactions on Control Systems Technology
1.5 IEEE Control Systems Society Publications Content Digest

2.1 EECI 2019 International Graduate School on Control
2.2 Online Seminar: ”Observer Design for Nonlinear Systems: A Tutorial”

3. Books
3.1 Low-Rank Approximation: Algorithms, Implementation, Applications
3.2 Supervisory Control of Discrete-Event Systems

4. Journals
4.1 Contents: Automatica
4.2 Contents: IEEE/CAA Journal of Automatica Sinica
4.3 Contents: International Journal of Control
4.4 Contents: Systems & Control Letters
4.5 Contents: European Journal of Control
4.6 Contents: Nonlinear Analysis: Hybrid Systems
4.7 Contents: Control Engineering Practice
4.8 Contents: Journal of Process Control
4.9 Contents: Engineering Applications of Artificial Intelligence
4.10 Contents: Journal of the Franklin Institute
4.11 Contents: Evolution Equations & Control Theory
4.12 CFP: Asian Journal of Control
4.13 CFP: International Journal of Adaptive Control and Signal Processing

5. Conferences
5.1 IFAC Conference on Cyber-Physical & Human Systems
5.2 IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems
5.3 ASME Dynamic Systems and Control Conference
5.4 European Control Conference
5.5 ACM International Conference on Hybrid Systems: Computation and Control
5.6 ACM/IEEE International Conference on Cyber-Physical Systems
5.7 IEEE Workshop on Cyber-Physical Networking
5.8 Allerton Conference on Communication, Control, and Computing
5.9 IEEE International Conference on Mechatronics
5.10 International Conference on Control, Automation and Systems
5.11 IEEE Colombian Conference on Automatic Control
5.12 CDC Workshop on “Computation-aware Algorithmic Design for Cyber-Physical Systems”
5.13 CDC Workshop on “Parameter Convergence in Adaptive Control without Persistence of Excitation”
5.14 CDC Workshop on “Learning for Control”

6. Positions
6.1 PhD: LAAS, France
6.2 PhD: University of Sannio in Benevento, Italy
6.3 PhD: Delft University of Technology, The Netherlands
6.4 PhD: Florida State University, USA
6.5 PhD: University College Dublin, Ireland
6.6 PhD: CNRS, France
6.7 PhD: French-German Research Institute of Saint-Louis, France
6.8 PhD: Frankfurt Institute for Advanced Studies, Germany
6.9 PhD: Chalmers University of Technology, Sweden
6.10 PhD/PostDoc: Virginia Tech, USA
6.11 PostDoc: Shanghai Jiao Tong University, China
6.12 PostDoc: Delft University of Technology, The Netherlands
6.13 PostDoc: NC A&T State University, USA
6.14 PostDoc: Georgia Tech, USA
6.15 PostDoc: KU Leuven, Belgium
6.16 PostDoc: University of Melbourne, Australia
6.17 PostDoc/Research Scientist: Karlsruhe Institue of Technolgoy, Germany
6.18 Research Group Leader: University of Stuttgart, Germany
6.19 Faculty: Stanford University, USA
6.20 Faculty: University of Houston, USA
6.21 Robotics & Backend Developer: TU Munich, Germany
6.22 Development Engineer: ENERCON, Germany

1. IEEE CSS Headlines

1.1. CFP: CSS Outreach Fund
Contributed by: Daniel E. Rivera,

The IEEE Control Systems Society (CSS) Outreach Fund provides grants for projects that will benefit CSS members and the controls community in general.  Since its inception in 2011, the Fund has made over 60 grants on behalf of a diverse group of CSS member-led activities.

The CSS Outreach Task Force is pleased to announce that the window for proposal submission for its 2018 fall solicitation will be held from November 1 to 23, 2018. Information regarding the program, which includes proposal requirements and descriptions of current and past funded projects, can be found in:

Potential applicants are encouraged to watch a 10-minute video describing the CSS Outreach Fund that is available from

Inquiries, notices of intent, and requests for application materials must be made directly to Daniel E. Rivera, Outreach Task Force Chair, at

1.2. IEEE Control Systems Society Technically Cosponsored Conferences
Contributed by: Luca Zaccarian, CSS AE Conferences,
The following conferences have been recently included in the list of events technically cosponsored by the IEEE Control Systems Society:

 - 31st Chinese Control and Decision Conference (2019 CCDC). Nanchang, China. Jun 3 - Jun 5, 2019.

 - 56th Annual Allerton Conference on Communication, Control, and Computing. Monticello (IL), United States. Oct 2 - Oct 5, 2018.

 - 18th International Conference on Control, Automation and Systems (ICCAS 2018). PyeongChang, South Korea. Oct 17 - Oct 20, 2018.

 - 2nd IFAC Conference on Cyber-Physical and Human Systems. Miami (FL), United States. Dec 14 - Dec 15, 2018.

 - 22nd International Conference on System Theory, Control and Computing (ICSTCC 2018), Sinaia, Romania. Oct 10 - Oct 12, 2018.
For a full listing of CSS technically cosponsored conferences, please visit and for a list of the upcoming and past CSS main conferences please visit

1.3. IEEE Transactions on Automatic Control
Contributed by: Alessandro Astolfi,

Table of Contents
IEEE Transactions on Automatic Control
Volume 63 (2018), Issue 8 (August)

Scanning the Issue, p. 2309


- Dynamic Distributed Control for Networks With Cooperative-Antagonistic Interactions, eyuan Meng, p. 2311
- Stochastic Games for Smart Grid Energy Management with Prospect Prosumers, . Rasoul Etesami, Walid Saad, Narayan Mandayam, H. Vincent Poor, p. 2327
- Deadline Scheduling as Restless Bandits, he Yu, Yunjian Xu, Lang Tong, p. 2343
- Ranking and Selection as Stochastic Control, ijie Peng, Edwin K. P. Chong, Chun-Hung Chen, Michael C. Fu, p. 2359
- Event-Triggered Second-Moment Stabilization of Linear Systems under Packet Drops, avankumar Tallapragada, Massimo Franceschetti, Jorge Cortes, p. 2374
- Asymptotic Consensus on the Average of a Field for Time-Varying Nonlinear Networks under Almost Periodic Connectivity, abato Manfredi, David Angeli, p. 2389
- Model Reference Adaptive Control of 2 x 2 Coupled Linear Hyperbolic PDEs, enrik Anfinsen, Ole Morten Aamo, p. 2405
- Two Sided Boundary Stabilization of Heterodirectional Linear Coupled Hyperbolic PDEs, ean Auriol, Florent Di Meglio, p. 2421
- Optimal Mechanisms for Robust Coordination in Congestion Games, hilip N. Brown, Jason R. Marden, p. 2437
- The Role of Convexity on Saddle-Point Dynamics: Lyapunov Function and Robustness, shish Cherukuri, Enrique Mallada, Steven Low, Jorge Cortes, p. 2449
- Feedback Particle Filter on Riemannian Manifolds and Matrix Lie Groups, hi Zhang, Amirhossein Taghvaei, Prashant G. Mehta, p. 2465
- A Multivariable Stochastic Tracking Controller for Robot Manipulators without Joint Velocities, amer S. Saab, Paul Ghanem, p. 2481
- L2-gain for Hybrid Linear Systems with Periodic Jumps: A Game Theoretic Approach for Analysis and Design, orrado Possieri, Mario Sassano, p. 2496
- Resilient Randomized Quantized Consensus, eyed Mehran Dibaji, Hideaki Ishii, Roberto Tempo, p. 2508
- Design of Feedback Control Laws for Information Transfer in Spintronics Networks, ophie Schirmer, Edmond Jonckheere, Frank C. Langbein, p. 2523
- Event-Triggered Output Feedback Stabilization via Dynamic High-Gain Scaling, ohan Peralez, Vincent Andrieu, Madiha Nadri, Ulysse Serres, p. 2537

Technical Notes and Correspondence

- Near-Optimal Scheduling for Petri Net Models with Forbidden Markings, imitri Lefebvre, p. 2550
- A Set-theoretic Reconfiguration Feedback Control Scheme Against Simultaneous Stuck Actuators, alter Lucia, Domenico Famularo, Giuseppe Franze', p. 2558
- H2 Analysis of LTI Systems via Conversion to Externally Positive Systems, oshio Ebihara, p. 2566
- Performance Optimization for Timed Weighted Marked Graphs under Infinite Server Semantics, hou He, Zhiwu Li, Alessandro Giua, p. 2573
- Multi-Pattern Output Consensus in Networks of Heterogeneous Nonlinear Agents with Uncertain Leader: a Nonlinear Regression Approach, iacomo Casadei, Daniele Astolfi, p. 2581
- H2 Output Feedback Control with Finite Multiple Measurement Information, hoon Ki Ahn, Peng Shi, Hongyi Li, p. 2588
- Secure State Estimation Against Sparse Sensor Attacks with Adaptive Switching Mechanism, iwei An, Guang-Hong Yang, p. 2596
- Leader-Following Consensus of Multiple Uncertain Euler-Lagrange Systems Subject to Communication Delays and Switching Networks, aobin Lu, Lu Liu, p. 2604
- Matrix Optimal Mass Transport: a Quantum Mechanical Approach, ongxin Chen, Tryphon T. Georgiou, Allen Tannenbaum, p. 2612
- Robust State Feedback Regulator Design for General Linear Heterodirectional Hyperbolic Systems, oachim Deutscher, Jakob Gabriel, p.
- Converse Theorems for Safety and Barrier Certificates, tefan Ratschan, p. 2628
- Boundary Feedback Stabilization of a Class of Coupled Hyperbolic Equations with Non-local Terms, ingling Su, Jun-Min Wang, Miroslav Krstic, p. 2633
- Bounds on the Smallest Eigenvalue of a Pinned Laplacian Matrix, aeed Manaffam, A. Behal, p. 2641
- Quasi-Time-Dependent Controller and Filter Design for Discrete-Time Switched System with Mode-dependent Average Dwell Time, hongyang Fei, Shuang Shi, Zhenhuan Wang, Ligang Wu, p. 2647
- Global Asymptotic Stability of a PID Control System with Coulomb Friction, ndrea Bisoffi, Mauro Da Lio, Andrew R. Teel, Luca Zaccarian, p. 2654
- A Cascades Approach to Formation-Tracking Stabilization of Force-Controlled Autonomous Vehicles, ntonio Loria, Mohamed Maghenem, Elena Panteley, p. 2662
- Distributed Algorithms for Solving Convex Inequalities, aihong Lu, Gangshan Jing, Long Wang, p. 2670
- Distance-based Control of Kn Formations in General Space with Almost Global Convergence, young-Chul Park, Zhiyong Sun, Brian D.O. Anderson, Hyo-Sung Ahn, p. 2678
- Event-based Boundary Control of a Linear 2x2 Hyperbolic System via Backstepping Approach, icolas Espitia, Antoine Girard, Nicolas Marchand, Christophe Prieur, p. 2686
- Exponential Stability of Two-Dimensional Homogeneous Monotone Systems with Bounded Directional Delays, ien Le, Hieu Trinh, p. 2694
- On Kalman-Consensus Filtering with Random Link Failures over Sensor Networks, inyuan Liu, Zidong Wang, Xiao He, Donghua Zhou, p. 2701
- Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems with Singular Perturbations, ao Shen, Feng Li, Shengyuan Xu, Victor Sreeram, p. 2709
- Passivity-based Asynchronous Sliding Mode Control for Delayed Singular Markovian Jump Systems, anbiao Li, Chenglong Du, Chunhua Yang, Weihua Gui, p. 2715
- Linear-Quadratic Mean-Field-Game for Stochastic Delay Systems, ianhui Huang, Na Li, p. 2722
- Distributed Circular Formation Control of Nonholonomic Vehicles without Direct Distance Measurements, iao Yu, Lu Liu, Gang Feng, p. 2730
- Global Exponential/Finite-Time Stability of Nonlinear Adaptive Switching Systems with Applications in Controlling Systems with Unknown Control Direction, eisheng Chen, Changyun Wen, Jian Wu, p. 2738
- Comments on “On stabilisation of 2D Roesser Models”, livier Bachelier, Wojciech Paszke, Nima Yeganefar, Driss Mehdi, p. 2745
- Errata in “Multivalued robust tracking control of Lagrange systems: Continuous and discrete-time algorithms”, elix Alfredo Miranda-Villatoro, Bernard Brogliato, Fernando Castaños, p. 2750

1.4. IEEE Transactions on Control Systems Technology
Contributed by: Michelle Colasanti,

Table of Contents
IEEE Transactions on Control Systems Technology
Volume 26 (2018), Issue 5 (September)


- Metro Traffic Modeling and Regulation in Loop Lines Using a Robust Model Predictive Controller to Improve Passenger Satisfaction, B. Moaveni and S. Najafi, page 1541
- MIMO Evolution Model-Based Coupled Fault Estimation and Adaptive Control With High Speed Train Applications, K. Zhang, B. Jiang, G. Tao, and F. Chen, page 1552
- Iterative Learning Control for the Radio Frequency Subsystems of a Free-Electron Laser, A. Rezaeizadeh and R. S. Smith, page 1567
- Wave Equation-Based Time-Varying Formation Control of Multiagent Systems, J. Qi, J. Zhang, and Y. Ding, page 1578
- Consensus Control for Vehicular Platooning With Velocity Constraints, J. C. Zegers, E. Semsar-Kazerooni, J. Ploeg, N. van de Wouw, and H. Nijmeijer, page 1592
- In-Vehicle Realization of Nonlinear MPC for Gasoline Two-Stage Turbocharging Airpath Control, T. Albin, D. Ritter, N. Liberda, R. Quirynen, and M. Dieh, page l 1606
- Robust Tuning of Cross-Directional Model Predictive Controllers for Paper-Making Processes, N. He, X. Liu, M. Forbes, J. U. Backström, and T. Chen, page 1619
- Formal Methods for Stability Analysis of Networked Control Systems With IEEE 802.15.4 Protocol, B. Wu, M. D. Lemmon, and H. Lin, page 1635
- Distributed Adaptive Control of Networked Cooperative Mobile Manipulators, A. Marino, page 1646
- Passivity-Based Thermohygrometric Control in Buildings, C. C. Okaeme, S. Mishra, and J. T.-Y. Wen, page 1661
- Improved Control Strategies for Atomic Force Microscopes in Intermittent Contact Mode, M. Coraggio, M. Homer, O. D. Payton, and M. di Bernardo, page 1673
- Point-to-Point Iterative Learning Control With Optimal Tracking Time Allocation, Y. Chen, B. Chu, and C. T. Freeman, page 1685
- Controllability, Observability, and Integrated State Estimation and Control of Networked Battery Systems, L. Y. Wang, F. Lin, and W. Chen, page 1699
- Optimal Oxygen Excess Ratio Control for PEM Fuel Cells, J. Chen, Z. Liu, F. Wang, Q. Ouyang, and H. Su, page 1711
- Criteria and Algorithms for Online and Offline Detections of Industrial Alarm Floods, J. Wang, Y. Zhao, and Z. Bi, page 1722
- Interactive Leader–Follower Consensus of Multiple Quadrotors Based on Composite Nonlinear Feedback Control, Z. Hou and I. Fantoni, page 1732
- Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units, D. Zhou, H. Ji, X. He, and J. Shang, page 1744
- Robust MISO Control of Propofol-Remifentanil Anesthesia Guided by the NeuroSENSE Monitor, K. van Heusden, J. M. Ansermino, and G. A. Dumont, page 1758
- Structured Robust Control Against Mixed Uncertainty, R. S. da Silva de Aguiar, P. Apkarian, and D. Noll, page 1771
- Game Theoretic Modeling of Driver and Vehicle Interactions for Verification and Validation of Autonomous Vehicle Control Systems, N. Li, D. W. Oyler, M. Zhang, Y. Yildiz, I. Kolmanovsky, and A. R. Girard, page 1782
- Distributed Receding Horizon Control of Constrained Networked Leader–Follower Formations Subject to Packet Dropouts, G. Franzè, A. Casavola, D. Famularo, and W. Lucia, page 1798


- Delta Operator-Based Fault Estimation and Fault-Tolerant Model Predictive Control for Steer-By-Wire Systems, C. Huang, F. Naghdy, and H. Du, page 1810
- Convex Constrained Iterative Learning Control Using Projection: Application to a Smart Power Switch, T. Glück, M. Blank, D. Büchl, and A. Kugi, page 1818
- Nullspace-Based Input Reconfiguration Architecture for Overactuated Aerial Vehicles, T. Péni, B. Vanek, G. Lipták, Z. Szabó, and J. Bokor, page 1826
- Composite Energy Function-Based Spatial Iterative Learning Control in Motion Systems, J. Liu, X. Dong, D. Huang, and M. Yu, page 1834
- Adaptive–Robust Control of Euler–Lagrange Systems With Linearly Parametrizable Uncertainty Bound, S. Roy, S. B. Roy, and I. N. Kar, page 1842
- Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output, Z. Zheng, Y. Huang, L. Xie, and B. Zhu, page 1851
- Formation-Tracking Control of Autonomous Vehicles Under Relaxed Persistency of Excitation Conditions, M. Maghenem, A. Loría, and E. Panteley, page 1860
- Predefined-Time Convergence Control for High-Order Integrator Systems Using Time Base Generators, H. M. Becerra, C. R. Vázquez, G. Arechavaleta, and J. Delfin, page 1866
- Flexible Cable-Driven Parallel Manipulator Control: Maintaining Positive Cable Tensions, R. J. Caverly and J. R. Forbes, page 1874
- Nonlinear Observers for GNSS- and Camera-Aided Inertial Navigation of a Fixed-Wing UAV, L. Fusini, T. I. Fossen, and T. A. Johansen, page 1884
- Learning-Based Hierarchical Distributed HVAC Scheduling With Operational Constraints, N. Radhakrishnan, S. Srinivasan, R. Su, and K. Poolla, page 1892
- An Optimization Formulation of Converter Control and Its General Solution for the Four-Leg Two-Level Inverter, A. Bouarfa, M. Bodson, and M. Fadel, page 1901
- Saturated PID Control for the Optical Manipulation of Biological Cells, M. Xie, X. Li, Y. Wang, Y. Liu, and D. Sun, page 1909
- Charging Coordination of Plug-In Electric Vehicles in Distribution Networks With Capacity Constrained Feeder Lines, Z. Ma, N. Yang, S. Zou, and Y. Shao, page 1917

1.5. IEEE Control Systems Society Publications Content Digest
Contributed by: Kaiwen Chen,

The IEEE Control Systems Society Publications Content Digest is a novel and convenient guide that helps readers keep track of the latest published articles.

The CSS Publications Content Digest, available at provides lists of current tables of contents of the periodicals sponsored by the Control Systems Society.

Each issue offers readers a rapid means to survey and access the latest peer-reviewed papers of the IEEE Control Systems Society. We also include links to the Society’s sponsored Conferences to give readers a preview of upcoming meetings.


2.1. EECI 2019 International Graduate School on Control
Contributed by: Francoise Lamnabhi-Lagarrigue,

EECI 2019 International Graduate School on Control (EECI-IGSC-2019)

The advance programme and the corresponding summaries of the 27 independent graduate week modules of the EECI 2019 International Graduate School on Control, Technically Co-sponsored by IFAC and IEEE CSS, are now available on

Early registrations will open on October 1, 2018; Deadline for early registration to the modules M01 to M09 is 31/12/2018 and to the modules M10 to M27 is 28/02/2019.

2.2. Online Seminar: ”Observer Design for Nonlinear Systems: A Tutorial”
Contributed by: Tansel Yucelen,

University of South Florida Forum on Robotics & Control Engineering (USF FoRCE, will host Dr. Rajesh Rajamani (University of Minnesota) on September 26, 2018 at 12:00 PM Eastern Time.  Specifically, Dr. Rajamani will give an online seminar titled "Observer Design for Nonlinear Systems: A Tutorial" (abstract and biography of the speaker are included below).  We hope that you will make plans to participate on this free online seminar.  Here is the WebEx information needed to connect to this online seminar:

WebEx direct link:

WebEx indirect link:
(use 620 051 333 for the meeting number and k5rBxJ9k for the password)

WebEx phone link:
+1-510-338-9438 USA Toll
(global call-in numbers:

The mission of the USF FoRCE is simple:  Provide free, high-quality outreach events and online seminars to reach broader robotics and control engineering communities around the globe.  To support our mission, we periodically invite distinguished lecturers to the USF FoRCE to give talks on recent research and/or education results related to robotics and control engineering.  As a consequence, the USF FoRCE aims in connecting academicians and government/industry researchers/practitioners with each other through crosscutting basic and applied research and education discussions.  We cordially hope that you will enjoy the USF FoRCE events and find them highly-valuable to your own research and education interests.

Visit for more information and to access previously recorded events.  For any questions, email the USF FoRCE director, Dr. Tansel Yucelen (

Title: Observer Design for Nonlinear Systems: A Tutorial (Dr. Rajesh Rajamani, 12:00 PM Eastern Time, September 26, 2018)

Abstract:  This tutorial will describe the design of stable observers for nonlinear systems. The design methodology utilizes tools that include Lyapunov analysis, the Circle Criterion and the S-procedure Lemma. The observer stability conditions are typically obtained as linear or bilinear matrix inequalities from which the observer gains can be computed. The tutorial will start with a dynamic system in which the process dynamics has Lipschitz nonlinearities. This will later be generalized to allow for either Lipschitz, bounded Jacobian or sector bounded nonlinearities in both the process dynamics and the measurement equations. Simple programs to solve LMIs in Matlab and obtain the observer gains will also be presented. The lecture will conclude with the application of the developed methodology to automotive slip angle estimation in the presence of nonlinear tire force models.

Biography:  Rajesh Rajamani obtained his M.S. and Ph.D. degrees from the University of California at Berkeley in 1991 and 1993 respectively and his B.Tech degree from the Indian Institute of Technology at Madras in 1989. He is currently Professor of Mechanical Engineering at the University of Minnesota. His active research interests include observer design, sensing and control for smart and autonomous systems. Dr. Rajamani has co-authored over 240 refereed papers and is a co-inventor on 13 patent applications. He is the author of the popular book “Vehicle Dynamics and Control” published by Springer Verlag. Dr. Rajamani is a Fellow of ASME and has been a recipient of the CAREER award from the National Science Foundation, the 2001 Outstanding Paper award from the journal IEEE Transactions on Control Systems Technology, the Ralph Teetor Award from SAE, and the 2007 O. Hugo Schuck Award from the American Automatic Control Council. Several inventions from his laboratory have been commercialized through start-up ventures co-founded by industry executives. One of these companies, Innotronics, was recently recognized among the 35 Best University Start-Ups of 2016 in a competition conducted by the US National Council of Entrepreneurial Tech Transfer.

3. Books

3.1. Low-Rank Approximation: Algorithms, Implementation, Applications
Contributed by: Yasmin Brookes,

Low-Rank Approximation: Algorithms, Implementation, Applications by Ivan Markovsky
ISBN: 978-3-319-89619-9
August 2018, Springer
Hardcover, 272pp, $169.99/€139,99

This book is a comprehensive exposition of the theory, algorithms, and applications of structured low-rank approximation. Local optimization methods and effective suboptimal convex relaxations for Toeplitz, Hankel, and Sylvester structured problems are presented. A major part of the text is devoted to application of the theory with a range of applications from systems and control theory to psychometrics being described. Special knowledge of the application fields is not required.

The second edition of /Low-Rank Approximation/ is a thoroughly edited and extensively rewritten revision. It contains new chapters and sections that introduce the topics of:

• variable projection for structured low-rank approximation;
• missing data estimation;
• data-driven filtering and control;
• stochastic model representation and identification;
• identification of polynomial time-invariant systems; and
• blind identification with deterministic input model.

The book is complemented by a software implementation of the methods presented, which makes the theory directly applicable in practice. In particular, all numerical examples in the book are included in demonstration files and can be reproduced by the reader. This gives hands-on experience with the theory and methods detailed. In addition, exercises and MATLAB^® /Octave examples will assist the reader quickly to assimilate the theory on a chapter-by-chapter basis. Each chapter is completed with a new section of exercises to which complete solutions are provided.

Low-Rank Approximation (second edition) is a broad survey of the Low-Rank Approximation theory and applications of its field which will be of direct interest to researchers in system identification, control and systems theory, numerical linear algebra and optimization. The supplementary problems and solutions render it suitable for use in teaching graduate courses in those subjects as well.


1. Introduction

Part I Linear Modeling Problems
2. From Data to Models
3. Exact Modeling
4. Approximate Modeling

Part II Applications and Generalizations
5. Applications
6. Data-Driven Filtering and Control
7. Nonlinear Modeling Problems
8. Dealing with Prior Knowledge

3.2. Supervisory Control of Discrete-Event Systems
Contributed by: Yasmin Brookes,

Supervisory Control of Discrete-Event Systems by W. Murray Wonham and Kai Cai
ISBN: 978-3-319-77451-0
August 2018, Springer
Hardcover, 487 pages, $219.99/€169,99

This book shows how supervisory control theory (SCT) supports the formulation of various control problems of standard types, like the synthesis of controlled dynamic invariants by state feedback, and the resolution of such problems in terms of naturally definable control-theoretic concepts and properties, like reachability, controllability and observability. It exploits a simple, abstract model of controlled discrete-event systems (DES) that has proved to be tractable, appealing to control specialists, and expressive of a range of control-theoretic ideas. It allows readers to choose between automaton-based and dually language-based forms of SCT, depending on whether their preference is for an internal-structural or external-behavioral description of the problem.

The monograph begins with two chapters on algebraic and linguistic preliminaries and the fundamental concepts and results of SCT are introduced. To handle complexity caused by system scale, architectural approaches—the horizontal modularity of decentralized and distributed supervision and the vertical modularity of hierarchical supervision—are introduced. Supervisory control under partial observation and state-based supervisory control are also addressed; in the latter, a vector DES model that exploits internal regularity of algebraic structure is proposed. Finally SCT is generalized to deal with timed DES by incorporating temporal features in addition to logical ones.

Researchers and graduate students working with the control of discrete-event systems or who are interested in the development of supervisory control methods will find this book an invaluable aid in their studies. The text will also be of assistance to researchers in manufacturing, logistics, communications and transportation, areas which provide plentiful examples of the class of systems being discussed.


1. Algebraic Preliminaries
2. Linguistic Preliminaries
3. Supervision of Discrete-Event Systems: Basics
4. Decentralized and Distributed Supervision of Discrete-Event Systems
5. Hierarchical Supervision of Discrete-Event Systems
6. Supervisory Control with Partial Observations
7. State-Based Control of Discrete-Event Systems
8. Supervision of Vector Discrete-Event Systems
9. Supervisory Control of Timed Discrete-Event Systems

4. Journals

4.1. Contents: Automatica
Contributed by: John Coca,

Vol. 96
October 2018

- Gustavo Artur de Andrade, Rafael Vazquez, Daniel Juan Pagano, Backstepping stabilization of a linearized ODE–PDE Rijke tube model, Pages 98-109
- Feng-Fei Jin, Bao-Zhu Guo, Performance boundary output tracking for one-dimensional heat equation with boundary unmatched disturbance, Pages 1-10
- Jack Umenberger, Johan Wågberg, Ian R. Manchester, Thomas B. Schön, Maximum likelihood identification of stable linear dynamical systems, Pages 280-292
- Justin P. Koeln, Andrew G. Alleyne, Robust hierarchical model predictive control of graph-based power flow systems, Pages 127-133
- Sofie Haesaert, Siep Weiland, Carsten W. Scherer, A separation theorem for guaranteed H2 performance through matrix inequalities, Pages 306-313
- Diego Muñoz-Carpintero, Guoqiang Hu, Costas J. Spanos, Stochastic Model Predictive Control with adaptive constraint tightening for non-conservative chance constraints satisfaction, Pages 32-39
- Johannes Nygren, Kristiaan Pelckmans, A stability criterion for switching Lur’e systems with switching-path restrictions, Pages 337-341
- Suh-Wen Chiou, A robust signal control system for equilibrium flow under uncertain travel demand and traffic delay, Pages 240-252
- Yang Zhu, Miroslav Krstic, Hongye Su, Adaptive global stabilization of uncertain multi-input linear time-delay systems by PDE full-state feedback, Pages 270-279
- Shuang Wu, Xiaoqiang Ren, Subhrakanti Dey, Ling Shi, Optimal scheduling of multiple sensors over shared channels with packet transmission constraint, Pages 22-31
- Jose Guadalupe Romero, Alejandro Donaire, Romeo Ortega, Pablo Borja, Global stabilisation of underactuated mechanical systems via PID passivity-based control, Pages 178-185
- Mohamad Kazem Shirani Faradonbeh, Ambuj Tewari, George Michailidis, Finite time identification in unstable linear systems, Pages 342-353
- Alberto Bemporad, Valentina Breschi, Dario Piga, Stephen P. Boyd, Fitting jump models, Pages 11-21
- Daizhan Cheng, Ting Liu, From Boolean game to potential game, Pages 51-60
- Stefan Heijmans, Romain Postoyan, Dragan Nešić, Navid Noroozi, Maurice Heemels, Stability analysis of networked linear control systems with direct-feedthrough terms, Pages 186-200
- Jinling Liang, Fan Wang, Zidong Wang, Xiaohui Liu, Robust Kalman filtering for two-dimensional systems with multiplicative noises and measurement degradations: The finite-horizon case, Pages 166-177
- Huong Ha, James S. Welsh, Cristian R. Rojas, Bo Wahlberg, An analysis of the SPARSEVA estimate for the finite sample data case, Pages 141-149
- Jiandong Zhu, Chunjiang Qian, A necessary and sufficient condition for local asymptotic stability of a class of nonlinear systems in the critical case, Pages 234-239
- Anton Selivanov, Emilia Fridman, Delayed point control of a reaction–diffusion PDE under discrete-time point measurements, Pages 224-233
- Ye Tian, Long Wang, Opinion dynamics in social networks with stubborn agents: An issue-based perspective, Pages 213-223
- Tonametl Sanchez, Jaime A. Moreno, Leonid M. Fridman, Output feedback Continuous Twisting Algorithm, Pages 298-305
- Abhisek K. Behera, Bijnan Bandyopadhyay, Xinghuo Yu,
- Periodic event-triggered sliding mode control, Pages 61-72
- Zhi-Liang Zhao, Zhong-Ping Jiang, Finite-time output feedback stabilization of lower-triangular nonlinear systems, Pages 259-269
- Lin Wang, Johan Markdahl, Zhixin Liu, Xiaoming Hu, Decentralized cooperative tracking subject to motion constraints, Pages 121-126
- Luca Deori, Kostas Margellos, Maria Prandini, Price of anarchy in electric vehicle charging control games: When Nash equilibria achieve social welfare, Pages 150-158
- Jianquan Lu, Meilin Li, Tingwen Huang, Yang Liu, Jinde Cao, The transformation between the Galois NLFSRs and the Fibonacci NLFSRs via semi-tensor product of matrices, Pages 393-397
- Xiaobin Gao, Daniel Liberzon, Ji Liu, Tamer Başar, Unified stability criteria for slowly time-varying and switched linear systems, Pages 110-120
- Philipp N. Köhler, Matthias A. Müller, Frank Allgöwer, A distributed economic MPC framework for cooperative control under conflicting objectives, Pages 368-379
- Johan Thunberg, Johan Markdahl, Florian Bernard, Jorge Goncalves, A lifting method for analyzing distributed synchronization on the unit sphere, Pages 253-258
- Juanjuan Xu, Huanshui Zhang, Lihua Xie, General linear forward and backward Stochastic difference equations with applications, Pages 40-50
- Yinyan Zhang, Shuai Li, Second-order min-consensus on switching topology, Pages 293-297
- Guanghui Zhu, Zhiwu Li, Naiqi Wu, Model-based fault identification of discrete event systems using partially observed Petri nets, Pages 201-212
- Jérôme Lohéac, Emmanuel Trélat, Enrique Zuazua, Minimal controllability time for finite-dimensional control systems under state constraints, Pages 380-392
- Koffi M. Djidula Motchon, Komi Midzodzi Pekpe, Jean-Philippe Cassar, Robust discerning controls for the operating modes of linear switched systems subject to bounded unknown inputs, Pages 159-165
- Wei He, Tingting Meng, Xiuyu He, Shuzhi Sam Ge, Unified iterative learning control for flexible structures with input constraints, Pages 326-336
- Yang Lu, Minghui Zhu, Privacy preserving distributed optimization using homomorphic encryption, Pages 314-325
- Jianliang Tang, Mingqing Xiao, Almost sure convergence of observers for switched linear systems, Pages 354-358
- Rahul Raveendran, Hariprasad Kodamana, Biao Huang, Process monitoring using a generalized probabilistic linear latent variable model, Pages 73-83
- Mrdjan Jankovic, Robust control barrier functions for constrained stabilization of nonlinear systems, Pages 359-367
- Shi Wang, Hendra I. Nurdin, Guofeng Zhang, Matthew R. James, Representation and network synthesis for a class of mixed quantum–classical linear stochastic systems, Pages 84-97
- Xu-Zhou Huang, Yu-Ping Tian, Asynchronous distributed localization in networks with communication delays and packet losses, Pages 134-140
- Abhisek K. Behera, Asif Chalanga, Bijnan Bandyopadhyay, Corrigendum to “A new geometric proof of super-twisting control with actuator saturation” [Automatica 87 (2018) 437-441], Page 398

4.2. Contents: IEEE/CAA Journal of Automatica Sinica
Contributed by: Yan Ou,

IEEE/CAA Journal of Automatica Sinica
Volume 5 (2018), Issue 5 (September)

- Iterative Learning Control With Incomplete Information: A Survey. D. Shen, page 885
- Fundamental Issues in Networked Control Systems. M. S. Mahmoud and M. M. Hamdan, page 902

- Adaptive Neural Network-Based Control for a Class of Nonlinear Pure-Feedback Systems With Time-Varying Full State Constraints. T. T. Gao, Y. J. Liu, L. Liu, and D. P. Li, page 923
- A Dynamic Road Incident Information Delivery Strategy to Reduce Urban Traffic Congestion. L. Qi, M. C. Zhou, and W. J. Luan, page 934
- Feed-Forward Active Noise Control System Using Microphone Array. L. C. Liu, Y. Li, and S. M. Kuo, page 946
- Energy Efficient Predictive Control for Vapor Compression Refrigeration Cycle Systems. X. H. Yin and S. Y. Li, page 953
- A Robust Reserve Scheduling Method Considering Asymmetrical Wind Power Distribution. G. Z. Wang, Q. Y. Bian, H. H. Xin, and Z. Wang, page 961
- Modeling of Energy Consumption and Effluent Quality Using Density Peaks-based Adaptive Fuzzy Neural Network. J. F. Qiao and H. B. Zhou, page 968
- Design and Implementation of Digital Fractional Order PID Controller Using Optimal Pole-Zero Approximation Method for Magnetic Levitation System. A. S. Chopade, S. W. Khubalkar, A. S. Junghare, M. V. Aware, and S. Das, page 977
- Observer-based Iterative and Repetitive Learning Control for a Class of Nonlinear Systems. S. Zhu, X. J. Wang, and H. Liu, page 990

- An Iterative Method for Optimal Feedback Control and Generalized HJB Equation. X. S. Chen and X. Chen, page 999
- Digital Filter Algorithm Based on Morphological Lifting Scheme and Median Filter. L. Zhang, page 1007
- A Situation-Aware Collision Avoidance Strategy for Car-Following. L. Li, X. Y. Peng, F.-Y. Wang, D. P. Cao, and L. X. Li, page 1012
- Finite-time Stabilization of the Double Integrator Subject to Input Saturation and Input Delay. H. W. Ye, M. Li, C. H. Yang, and W. H. Gui, page 1017

4.3. Contents: International Journal of Control
Contributed by: Bing Chu,

International Journal of Control
Volume 91, Issue 9, 2018

- Special issue on differentiators, M. Reichhartinger, D. Efimov & L. Fridman, pages: 1980-1982
- Exact differentiator with varying gains, Jaime A. Moreno, pages: 1983-1993
- Globally convergent differentiators with variable gains, Arie Levant & Miki Livne, pages: 1994-2008
- Convergence acceleration for observers by gain commutation, Denis Efimov, Andrey Polyakov, Arie Levant & Wilfrid Perruquetti, pages: 2009-2018
- Adaptation of Levant's differentiator based on barrier function, Hussein Obeid, Leonid Fridman, Salah Laghrouche, Mohamed Harmouche & Mohammad Ali Golkani, pages: 2019-2027
- An arbitrary-order differentiator design paradigm with adaptive gains, Markus Reichhartinger & Sarah Spurgeon, pages: 2028-2042
- Output-feedback variable gain super-twisting algorithm for arbitrary relative degree systems, Tiago Roux Oliveira, Victor Hugo Pereira Rodrigues, Antonio Estrada & Leonid Fridman, pages: 2043-2059
- Global adaptive HOSM differentiators via monitoring functions and hybrid state-norm observers for output feedback, Victor Hugo Pereira Rodrigues & Tiago Roux Oliveira, pages: 2060-2072
- Frequency-domain analysis and tuning of the algebraic differentiators, Mamadou Mboup & Samer Riachy, pages: 2073-2081
- Algebraic differentiators through orthogonal polynomials series expansions, Rosane Ushirobira, pages: 2082-2089
- Non-asymptotic numerical differentiation: a kernel-based approach, Peng Li, Gilberto Pin, Giuseppe Fedele & Thomas Parisini, pages: 2090-2099
- Second-order sliding-mode differentiators: an experimental comparative analysis using Van der Pol oscillator, Hafiz Ahmed, Héctor Ríos, Beshah Ayalew & Yongqiang Wang, pages: 2100-2112
- Sliding mode differentiator/observer for quadcopter velocity estimation through sensor fusion, Igor Boiko & Mohammad Chehadeh, pages: 2113-2120
- Differentiator application in altitude control for an indoor blimp robot, Yue Wang, Gang Zheng, Denis Efimov & Wilfrid Perruquetti, pages: 2121-2130
- On a linear input–output approach for the control of nonlinear flat systems, H. Sira-Ramírez, E. W. Zurita-Bustamante, E. Hernández-Flores & M. A. Aguilar-Orduña, pages: 2131-2146

4.4. Contents: Systems & Control Letters
Contributed by: John Coca,

Systems & Control Letters
Vol. 119
September 2018

- Xiang Yin, Zhaojian Li, Weilin Wang, Trajectory detectability of discrete-event systems, Pages 101-107
- Kazuya Takijiri, Hideaki Ishii, Networked control of uncertain systems via the coarsest quantization and lossy communication, Pages 57-63
- Erik Weitenberg, Claudio De Persis, Robustness to noise of distributed averaging integral controllers in power networks, Pages 1-7
- Ying Zhao, Dan Ma, Jun Zhao, L2 bumpless transfer control for switched linear systems with almost output regulation, Pages 39-45
- Hossein Beikzadeh, Guangjun Liu, Horacio J. Marquez, Robust sensitive fault detection and estimation for single-rate and multirate nonlinear sampled-data systems, Pages 71-80
- Xue Luo, Xiuqiong Chen, Stephen S.-T. Yau, Suboptimal linear estimation for continuous–discrete bilinear systems, Pages 92-100
- Hui Liu, Zhiyun Lin, Ming Cao, Xiaoping Wang, Jinhu Lü, Coordinate-free formation control of multi-agent systems using rooted graphs, Pages 8-15
- Timothy H. Hughes, On the internal signature and minimal electric network realizations of reciprocal behaviors, Pages 16-22
- Jacob van der Woude, Taha Boukhobza, Christian Commault, On structural behavioural controllability of linear discrete time systems with delays, Pages 31-38
- Bernard Vau, Henri Bourlès, Some remarks on the bias distribution analysis of discrete-time identification algorithms based on pseudo-linear regressions, Pages 46-51
- Mohammad Ali Golkani, Stefan Koch, Markus Reichhartinger, Martin Horn, A novel saturated super-twisting algorithm, Pages 52-56
- Yuecheng Yang, Dimos V. Dimarogonas, Xiaoming Hu, Opinion consensus under external influences, Pages 23-30
- Maria Elena Valcher, Irene Zorzan, State–feedback stabilization of multi-input compartmental systems, Pages 81-91
- Andrii Mironchenko, Fabian Wirth, Lyapunov characterization of input-to-state stability for semilinear control systems over Banach spaces, Pages 64-70

4.5. Contents: European Journal of Control
Contributed by: John Coca,

European Journal of Control
Vol. 43
September 2018

- Praveen S Babu, Nithin Xavier, Bijnan Bandyopadhyay, Robust nonovershooting tracking controller for descriptor systems, Pages 57-63
- Samet Güler, Barış Fidan, Target capture and station keeping of fixed speed vehicles without self-location information, Pages 1-11
- Habib Ayadi, Exponential stabilization of cascade ODE-linearized KdV system by boundary Dirichlet actuation, Pages 33-38
- Dmitry N. Gerasimov, Romeo. Ortega, Vladimir O. Nikiforov, Relaxing the high-frequency gain sign assumption in direct model reference adaptive control, Pages 12-19
- Marco A. Arteaga–Pérez, Marisol Morales, Mauro López, Emmanuel Nuño, Observer design for the synchronization of bilateral delayed teleoperators, Pages 20-32
- André F. Caldeira, Christophe Prieur, Daniel Coutinho, Valter J.S. Leite, Regional stability and stabilization of a class of linear hyperbolic systems with nonlinear quadratic dynamic boundary conditions, Pages 46-56
- Savin Treanţă, Manuel Arana-Jiménez, On generalized KT-pseudoinvex control problems involving multiple integral functionals, Pages 39-45

4.6. Contents: Nonlinear Analysis: Hybrid Systems
Contributed by: John Coca,

Nonlinear Analysis: Hybrid Systems
Vol. 30
November 2018

- Dung T. Nguyen, Son L. Nguyen, Tuan A. Hoang, George Yin, Tamed-Euler method for hybrid stochastic differential equations with Markovian switching, Pages 14-30
- Shenghui Guo, Fanglai Zhu, Bin Jiang, Reduced-order switched UIO design for switched discrete-time descriptor systems, Pages 240-255
- Zidong Ai, Lianghong Peng, Stabilization and robustness analysis of multi-module impulsive switched linear systems, Pages 293-305
- Pei Cheng, Feiqi Deng, Fengqi Yao, Almost sure exponential stability and stochastic stabilization of stochastic differential systems with impulsive effects, Pages 106-117
- Yueju Cao, Jitao Sun, Practical stability of nonlinear measure differential equations, Pages 163-170
- Beibei Guo, Yu Xiao, Chiping Zhang, Synchronization analysis of stochastic coupled systems with time delay on networks by periodically intermittent control and graph-theoretic method, Pages 118-133
- Wanli Guo, Haijun Xiao, Distributed consensus of the nonlinear second-order multi-agent systems via mixed intermittent protocol, Pages 189-198
- Meng Liu, Yu Zhu, Stationary distribution and ergodicity of a stochastic hybrid competition model with Lévy jumps, Pages 225-239
- Simone Baldi, Antonis Papachristodoulou, Elias B. Kosmatopoulos, Adaptive pulse width modulation design for power converters based on affine switched systems, Pages 306-322
- B. Dravie, P. Guillot, G. Millérioux, Flatness and structural analysis as a constructive framework for private communication, Pages 92-105
- Yongyuan Yu, Min Meng, Jun-e Feng, Peihe Wang, Stabilizability analysis and switching signals design of switched Boolean networks, Pages 31-44
- Zhibao Song, Junyong Zhai, Practical output tracking control for switched nonlinear systems: A dynamic gain based approach, Pages 147-162
- Sergey Dashkovskiy, Petro Feketa, Asymptotic properties of Zeno solutions, Pages 256-265
- Adriana Ocejo, Explicit solutions to utility maximization problems in a regime-switching market model via Laplace transforms, Pages 45-57
- Lijun Gao, Dandan Wang, Guangdeng Zong, Exponential stability for generalized stochastic impulsive functional differential equations with delayed impulses and Markovian switching, Pages 199-212
- Vladislav Nenchev, Christos G. Cassandras, Jörg Raisch, Event-driven optimal control for a robotic exploration, pick-up and delivery problem, Pages 266-284
- Xiang Wu, Kanjian Zhang, Ming Cheng, Optimal control of constrained switched systems and application to electrical vehicle energy management, Pages 171-188
- Ruicheng Ma, Xiaomei Wang, Yan Liu, Robust stability of switched positive linear systems with interval uncertainties via multiple time-varying linear copositive Lyapunov functions, Pages 285-292
- Mikhail Kamenskii, Oleg Makarenkov, Lakmi Niwanthi Wadippuli, Paul Raynaud de Fitte, Global stability of almost periodic solutions to monotone sweeping processes and their response to non-monotone perturbations, Pages 213-224
- Di Zhang, Qingling Zhang, Sliding mode control for T–S fuzzy singular semi-Markovian jump system, Pages 72-91
- Xinzhi Liu, Kexue Zhang, Wei-Chau Xie, Consensus of multi-agent systems via hybrid impulsive protocols with time-delay, Pages 134-146
- Masashi Mizoguchi, Toshimitsu Ushio, Deadlock-free output feedback controller design based on approximately abstracted observers, Pages 58-71
- Gongfei Song, James Lam, Shengyuan Xu, Quantized feedback stabilization of continuous time-delay systems subject to actuator saturation, Pages 1-13

4.7. Contents: Control Engineering Practice
Contributed by: John Coca,

Control Engineering Practice
Vol. 78
September 2018

- Michael Fleps-Dezasse, Tilman Bünte, Ferdinand Svaricek, Jonathan Brembeck, LPV feedforward control of semi-active suspensions for improved roll stability, Pages 1-11
- Min Wu, Kexin Zhang, Jianqi An, Jinhua She, Kang-Zhi Liu, An energy efficient decision-making strategy of burden distribution for blast furnace, Pages 186-195
- Lorenzo Moriello, Luigi Biagiotti, Claudio Melchiorri, Andrea Paoli, Manipulating liquids with robots: A sloshing-free solution, Pages 129-141
- Luis Gracia, J. Ernesto Solanes, Pau Muñoz-Benavent, Alicia Esparza, Jaime Valls Miro, Josep Tornero, Cooperative transport tasks with robots using adaptive non-conventional sliding mode control, Pages 35-55
- Giacomo Galuppini, Lalo Magni, Davide Martino Raimondo, Model predictive control of systems with deadzone and saturation, Pages 56-64
- Zhongyang Han, Jun Zhao, Henry Leung, Wei Wang, Construction of prediction intervals for gas flow systems in steel industry based on granular computing, Pages 79-88
- Mario L. Fravolini, Marcello R. Napolitano, Giuseppe Del Core, Umberto Papa, Experimental interval models for the robust Fault Detection of Aircraft Air Data Sensors, Pages 196-212
- L. Jadachowski, A. Steinboeck, A. Kugi, State estimation and advanced control of the 2D temperature field in an experimental oscillating annealing device, Pages 116-128
- Baris Bidikli, Alper Bayrak, A self-tuning robust full-state feedback control design for the magnetic levitation system, Pages 175-185
- Christoph Josef Backi, Nonlinear modeling and control for an evaporator unit, Pages 24-34
- S.D. Salas, N. Ghadipasha, W. Zhu, T. Mcafee, T. Zekoski, W.F. Reed, J.A. Romagnoli, Framework design for weight-average molecular weight control in semi-batch polymerization, Pages 12-23
- Jesus Lago, Michael Erhard, Moritz Diehl, Warping model predictive control for application in control of a real airborne wind energy system, Pages 65-78
- Bulat Khusainov, Eric Kerrigan, Andrea Suardi, George Constantinides, Nonlinear predictive control on a heterogeneous computing platform, Pages 105-115
- Gianluca Bardaro, Luca Bascetta, Eugenio Ceravolo, Marcello Farina, Mauro Gabellone, Matteo Matteucci, MPC-based control architecture of an autonomous wheelchair for indoor environments, Pages 160-174
- Carlos Izaguirre-Espinosa, Aldo-Jonathan Muñoz-Vázquez, Anand Sanchez-Orta, Vicente Parra-Vega, Pedro Castillo, Contact force tracking of quadrotors based on robust attitude control, Pages 89-96
- L.A. Castañeda, A. Luviano-Juárez, G. Ochoa-Ortega, I. Chairez, Tracking control of uncertain time delay systems: An ADRC approach, Pages 97-104
- Xiang Hua Wang, Chee Pin Tan, 3-D impact angle constrained distributed cooperative guidance for maneuvering targets without angular-rate measurements, Pages 142-159

4.8. Contents: Journal of Process Control
Contributed by: John Coca,

Journal of Process Control
Vol. 68
August 2018

- Dong Liu, Guang-Hong Yang, Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes, Pages 186-194
- Rafał Łangowski, Mietek A. Brdys, An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems, Pages 52-63
- Dimitri Boiroux, Vladimír Bátora, Morten Hagdrup, Sabrina Lyngbye Wendt, Niels Kjølstad Poulsen, Henrik Madsen, John Bagterp Jørgensen, Adaptive model predictive control for a dual-hormone artificial pancreas, Pages 105-117
- Sen Xie, Chunhua Yang, Xiaoli Wang, Xiaofeng Yuan, Yongfang Xie, A data-driven adaptive multivariate steady state detection strategy for the evaporation process of the sodium aluminate solution, Pages 145-159
- Yining Dong, S. Joe Qin, Regression on dynamic PLS structures for supervised learning of dynamic data, Pages 64-72
- José O.A. Matias, Galo A.C. Le Roux, Real-time Optimization with persistent parameter adaptation using online parameter estimation, Pages 195-204
- Shiwen Xie, Yongfang Xie, Weihua Gui, Chunhua Yang, Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process, Pages 254-267
- J.H. Viljoen, C.J. Muller, I.K. Craig, Dynamic modelling of induced draft cooling towers with parallel heat exchangers, pumps and cooling water network, Pages 34-51
- Le Yao, Zhiqiang Ge, Big data quality prediction in the process industry: A distributed parallel modeling framework, Pages 1-13
- Venkata Reddy Palleti, Yu Chong Tan, Lakshminarayanan Samavedham, A mechanistic fault detection and isolation approach using Kalman filter to improve the security of cyber physical systems, Pages 160-170
- Jungwon Yu, Jaeyeong Yoo, Jaeyel Jang, June Ho Park, Sungshin Kim, A novel hybrid of auto-associative kernel regression and dynamic independent component analysis for fault detection in nonlinear multimode processes, Pages 129-144
- Bei Sun, Mingfang He, Yalin Wang, Weihua Gui, Chunhua Yang, Quanmin Zhu, A data-driven optimal control approach for solution purification process, Pages 171-185
- Anca Maxim, Dana Copot, Robin De Keyser, Clara M. Ionescu, An industrially relevant formulation of a distributed model predictive control algorithm based on minimal process information, Pages 240-253
- D. John Pradeep, Mathew Mithra Noel, A Finite Horizon Markov Decision Process Based Reinforcement Learning Control of a Rapid Thermal Processing system, Pages 218-225
- A. Robles, G. Capson-Tojo, M.V. Ruano, E. Latrille, J.-P. Steyer, Development and pilot-scale validation of a fuzzy-logic control system for optimization of methane production in fixed-bed reactors, Pages 96-104
- Torbjørn Pedersen, Ulf Jakob F. Aarsnes, John-Morten Godhavn, Flow and pressure control of underbalanced drilling operations using NMPC, Pages 73-85
- Hong-Gui Han, Zheng Liu, Ya-Nan Guo, Jun-Fei Qiao, An intelligent detection method for bulking sludge of wastewater treatment process, Pages 118-128
- E. Terzi, A. Cataldo, P. Lorusso, R. Scattolini, Modelling and predictive control of a recirculating cooling water system for an industrial plant, Pages 205-217
- Martín Jamilis, Fabricio Garelli, Hernán De Battista, Growth rate maximization in fed-batch processes using high order sliding controllers and observers based on cell density measurement, Pages 23-33
- Lin Wang, Chunjie Yang, Youxian Sun, Haifeng Zhang, Mingliang Li, Effective variable selection and moving window HMM-based approach for iron-making process monitoring, Pages 86-95
- Mingming Gao, Feng Hong, Jizhen Liu, Feng Chen, Investigation on the energy conversion and load control of supercritical circulating fluidized bed boiler units, Pages 14-22
- Ye Wang, José Ramón Salvador, David Muñoz de la Peña, Vicenç Puig, Gabriela Cembrano, Economic model predictive control based on a periodicity constraint, Pages 226-239


Journal of Process Control
Vol. 69
September 2018

- L. Jetto, V. Orsini, Enhancing the near decoupling property of closed-loop control systems through external constant feedback loop, Pages 70-78
- Samira S. Farahani, Sadegh Soudjani, Rupak Majumdar, Carlos Ocampo-Martinez, Formal controller synthesis for wastewater systems with signal temporal logic constraints: The Barcelona case study, Pages 179-191
- Adamastor R. Tôrres, Antônio Diógenes P. de Oliveira, Severino Grangeiro, Wallace D. Fragoso, Multivariate statistical process control in annual pharmaceutical product review, Pages 97-102
- Andreas Bück, Carsten Seidel, Robert Dürr, Christoph Neugebauer, Robust feedback control of convective drying of particulate solids, Pages 86-96
- N. Verdière, S. Orange, Diagnosability and detectability of multiple faults in nonlinear models, Pages 1-7
- H. Caballero-Barragán, L. Osuna-Ibarra, A. Sanchez, A.G. Loukianov, Semi-empirical modelling of the mass flow in a pilot-scale tubular reactor and tracking control, Pages 79-85
- Yizhou Fang, Antonios Armaou, Output feedback receding horizon regulation via moving horizon estimation and model predictive control, Pages 114-127
- Yongyong Hui, Xiaoqiang Zhao, Multi-phase batch process monitoring based on multiway weighted global neighborhood preserving embedding method, Pages 44-57
- J. Taheri-Kalani, G. Latif-Shabgahi, M. Alyari Shooredeli, On the use of penalty approach for design and analysis of univariate alarm systems, Pages 103-113
- Santhosh Kumar Varanasi, Phanindra Jampana, Identification of parsimonious continuous time LTI models with applications, Pages 128-137
- Yiteng Shen, Limin Wang, Jingxian Yu, Ridong Zhang, Furong Gao, A hybrid 2D fault-tolerant controller design for multi-phase batch processes with time delay, Pages 138-157
- Fukiko Kawai, Kasper Vinther, Palle Andersen, Jan Dimon Bendtsen, Anti-windup disturbance feedback control: Practical design with robustness, Pages 30-43
- Fabio C. Diehl, Cristina S. Almeida, Thiago K. Anzai, Giovani Gerevini, Saul S. Neto, Oscar F. Von Meien, Mario C.M.M. Campos, Marcelo Farenzena, Jorge O. Trierweiler, Oil production increase in unstable gas lift systems through nonlinear model predictive control, Pages 58-69
- Jayaram Valluru, Sachin C. Patwardhan, Lorenz T. Biegler, Development of robust extended Kalman filter and moving window estimator for simultaneous state and parameter/disturbance estimation, Pages 158-178
- B. Jaganatha Pandian, Mathew Mithra Noel, Control of a bioreactor using a new partially supervised reinforcement learning algorithm, Pages 16-29
- Jennifer Puschke, Alexander Mitsos, Robust feasible control based on multi-stage eNMPC considering worst-case scenarios, Pages 8-15

4.9. Contents: Engineering Applications of Artificial Intelligence
Contributed by: John Coca,

Engineering Applications of Artificial Intelligence
Vol. 74
September 2018

- Guangda Xu, Huicheng Zhou, Jihong Chen, CNC internal data based incremental cost-sensitive support vector machine method for tool breakage monitoring in end milling, Pages 90-103
- Hamoon Azizsoltani, Elham Sadeghi, Adaptive sequential strategy for risk estimation of engineering systems using Gaussian process regression active learning, Pages 146-165
- Emanuel Ontiveros, Patricia Melin, Oscar Castillo, High order α-planes integration: A new approach to computational cost reduction of General Type-2 Fuzzy Systems, Pages 186-197
- Joshua E. Siegel, Shane Pratt, Yongbin Sun, Sanjay E. Sarma, Real-time Deep Neural Networks for internet-enabled arc-fault detection, Pages 35-42
- Bhagat Singh Raghuwanshi, Sanyam Shukla, UnderBagging based reduced Kernelized weighted extreme learning machine for class imbalance learning, Pages 252-270
- Taiguang Gao, Min Huang, Qing Wang, Mingqiang Yin, Wai Ki Ching, Loo Hay Lee, Xingwei Wang, A systematic model of stable multilateral automated negotiation in e-market environment, Pages 134-145
- Arturo Baltazar, Karla I. Fernandez-Ramirez, Jorge I. Aranda-Sanchez, A study of chaotic searching paths for their application in an ultrasonic scanner, Pages 271-279
- Maciej Wielgosz, Matej Mertik, Andrzej Skoczeń, Ernesto De Matteis, The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization, Pages 166-185
- Mihai Lungu, Romulus Lungu, Neural network based adaptive control of airplane’s lateral-directional motion during final approach phase of landing, Pages 322-335
- Carlos Lopez-Franco, Jesus Hernandez-Barragan, Alma Y. Alanis, Nancy Arana-Daniel, A soft computing approach for inverse kinematics of robot manipulators, Pages 104-120
- Giorgio Gnecco, Marcello Sanguineti, Neural approximations in discounted infinite-horizon stochastic optimal control problems, Pages 294-302
- Vinicius M.A. Souza, Asphalt pavement classification using smartphone accelerometer and Complexity Invariant Distance, Pages 198-211
- Bao Huynh, Cuong Trinh, Huy Huynh, Thien-Trang Van, Bay Vo, Vaclav Snasel, An efficient approach for mining sequential patterns using multiple threads on very large databases, Pages 242-251
- A. Etminaniesfahani, A. Ghanbarzadeh, Z. Marashi, Fibonacci indicator algorithm: A novel tool for complex optimization problems, Pages 1-9
- Amir H. Jafari, Martin T. Hagan, Application of new training methods for neural model reference control, Pages 312-321
- Alireza Moayedikia, Kok-Leong Ong, Yee Ling Boo, William G.S. Yeoh, Task assignment in microtask crowdsourcing platforms using learning automata, Pages 212-225
- Ales Tavcar, Matjaz Gams, Surrogate-agent modeling for improved training, Pages 280-293
- Konrad Jackowski, New diversity measure for data stream classification ensembles, Pages 23-34
- Yin Cheng, Yuexin Huang, Bo Pang, Weidong Zhang, ThermalNet: A deep reinforcement learning-based combustion optimization system for coal-fired boiler, Pages 303-311
- Noorazliza Sulaiman, Junita Mohamad-Saleh, Abdul Ghani Abro, A hybrid algorithm of ABC variant and enhanced EGS local search technique for enhanced optimization performance, Pages 10-22
- Muhammet Deveci, Nihan Çetin Demirel, A survey of the literature on airline crew scheduling, Pages 54-69
- Alejandro Martín, Víctor Rodríguez-Fernández, David Camacho, CANDYMAN: Classifying Android malware families by modelling dynamic traces with Markov chains, Pages 121-133
- Cheng Siong Chin, Xi Ji, Adaptive online sequential extreme learning machine for frequency-dependent noise data on offshore oil rig, Pages 226-241
- Matthieu Gondran, Marie-José Huguet, Philippe Lacomme, Alain Quilliot, Nikolay Tchernev, A Dial-a-Ride evaluation for solving the job-shop with routing considerations, Pages 70-89
- Zhong-Liang Zhang, Xing-Gang Luo, Yang Yu, Bo-Wen Yuan, Jia-Fu Tang, Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme, Pages 43-53

4.10. Contents: Journal of the Franklin Institute
Contributed by: John Coca,

Journal of the Franklin Institute
Vol. 355, Iss. 13
September 2018

- Joshua Pringle, Celine Yu, Miriam Sachs, Raluca Ellis, Assessing ozone damage to cutleaf coneflower in an ozone bioindicator garden, Pages 6152-6168
- Yang Liu, Huaguang Zhang, Rui Yu, Qiuxia Qu, Data-driven optimal tracking control for discrete-time systems with delays using adaptive dynamic programming, Pages 5649-5666
- Tae H. Lee, Chee Peng Lim, Saeid Nahavandi, Ju H. Park, Network-based synchronization of T–S fuzzy chaotic systems with asynchronous samplings, Pages 5736-5758
- Yan Liu, Dakun Yang, Feng Li, Smoothed L1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results, Pages 6132-6151
- Shuang Shi, Zhenpeng Shi, Zhongyang Fei, Zheng Liu, Finite-time output feedback control for discrete-time switched linear systems with mode-dependent persistent dwell-time, Pages 5560-5575
- Yuan-Cheng Sun, Guang-Hong Yang, Periodic event-triggered resilient control for cyber-physical systems under denial-of-service attacks, Pages 5613-5631
- Yan-Hui Jing, Guang-Hong Yang, Adaptive quantized tracking control for a class of uncertain nonlinear systems with guaranteed transient performance, Pages 5414-5430
- Weihai Zhang, Hang Su, Fuzzy adaptive control of nonlinear MIMO systems with unknown dead zone outputs, Pages 5690-5720
- Víctor Repecho, Domingo Biel, Josep M. Olm, Enric Fossas, Robust sliding mode control of a DC/DC Boost converter with switching frequency regulation, Pages 5367-5383
- Xiang Wu, Qiaodan Liu, Kanjian Zhang, Xin Xin, Optimal-tuning of proportional-integral-derivative-like controller for constrained nonlinear systems and application to ship steering control, Pages 5667-5689
- Jesús D. Avilés, Jaime A. Moreno, Dissipative observers for discrete-time nonlinear systems, Pages 5759-5770
- Jun Chen, Ju H. Park, Shengyuan Xu, Stability analysis of continuous-time systems with time-varying delay using new Lyapunov–Krasovskii functionals, Pages 5957-5967
- Shuangyun Xing, Feiqi Deng, Delay-dependent H∞ filtering for discrete singular Markov jump systems with Wiener process and partly unknown transition probabilities, Pages 6062-6086
- Xiaoyu Zhang, Xiaodi Li, Jinde Cao, Foued Miaadi, Design of memory controllers for finite-time stabilization of delayed neural networks with uncertainty, Pages 5394-5413
- Shigen Gao, Hairong Dong, Bin Ning, Hongwei Wang, Error-driven nonlinear feedback-based fuzzy adaptive output dynamic surface control for nonlinear systems with partially constrained tracking errors, Pages 5452-5474
- M.J. Park, O.M. Kwon, J.H. Ryu, A Katz-centrality-based protocol design for leader-following formation of discrete-time multi-agent systems with communication delays, Pages 6111-6131
- Xiaoan Chu, Muguo Li, Event-triggered fault estimation and sliding mode fault-tolerant control for a class of nonlinear networked control systems, Pages 5475-5502
- Xingyue Yang, Bingquan Chen, Yuanyuan Li, Yang Liu, Fuad E. Alsaadi, Stabilization of dynamic-algebraic Boolean control networks via state feedback control, Pages 5520-5533
- Yingjie Fan, Xia Huang, Zhen Wang, Yuxia Li, Global dissipativity and quasi-synchronization of asynchronous updating fractional-order memristor-based neural networks via interval matrix method, Pages 5998-6025
- Meiqing Li, Liying Sun, Renming Yang, Finite-time H∞ control for a class of discrete-time nonlinear singular systems, Pages 5384-5393
- Gang Chen, Ya Zhao, Distributed adaptive output-feedback tracking control of non-affine multi-agent systems with prescribed performance, Pages 6087-6110
- Hong-Li Li, Jinde Cao, Haijun Jiang, Ahmed Alsaedi, Graph theory-based finite-time synchronization of fractional-order complex dynamical networks, Pages 5771-5789
- Zafer Bingul, Oguzhan Karahan, A novel performance criterion approach to optimum design of PID controller using cuckoo search algorithm for AVR system, Pages 5534-5559
- Ju Zhang, Xiaojie Xiu, K-d tree based approach for point location problem in explicit model predictive control, Pages 5431-5451
- Jiali Ma, Shengyuan Xu, Yongmin Li, Yuming Chu, Zhengqiang Zhang, Neural networks-based adaptive output feedback control for a class of uncertain nonlinear systems with input delay and disturbances, Pages 5503-5519
- Qun Liu, Daqing Jiang, Tasawar Hayat, Ahmed Alsaedi, Dynamical behavior of stochastic multigroup S-DI-A epidemic models for the transmission of HIV, Pages 5830-5865
- Xiaoying Zhang, Hongyinping Feng, Shugen Chai, Output feedback stabilization for an anti-stable Schrödinger equation with internal unknown dynamic and external disturbance, Pages 5632-5648
- Jiangrong Li, Zhiguang Feng, Yuxin Zhao, Juan Shi, Reachable set estimation for discrete-time bilinear systems with time-varying delays, Pages 5721-5735
- Dongshu Wang, Lihong Huang, Robust synchronization of discontinuous Cohen–Grossberg neural networks: Pinning control approach, Pages 5866-5892
- Shengli Du, Junfei Qiao, Xudong Zhao, Rui Wang, Stability and L1-gain analysis for switched positive T–S fuzzy systems under asynchronous switching, Pages 5912-5927
- Huihui Ji, He Zhang, Baotong Cui, Event-triggered H∞ filtering control for a class of distributed parameter systems with Markovian switching topology, Pages 5928-5956
- Xu Li, Rui Wang, Xudong Zhao, Stability of discrete-time systems with time-varying delay based on switching technique, Pages 6026-6044
- Yuanchao Si, Chengkang Xie, Zhiyuan Zhen, Ailiang Zhao, Local stabilization of coupled nonlinear parabolic equations by boundary control, Pages 5592-5612
- Jiayu Zhou, Yong Xu, Jun-Yi Li, Yachao Li, Robust state estimation for discrete time systems with colored noises and communication constraints, Pages 5790-5810
- Yanli Huang, Weizhong Chen, Shunyan Ren, Zewei Zheng, Analysis and pinning control for generalized synchronization of delayed coupled neural networks with different dimensional nodes, Pages 5968-5997
- Mingkang Long, Housheng Su, Bo Liu, Group controllability of two-time-scale multi-agent networks, Pages 6045-6061
- Li Li, Mengfei Niu, Hongjiu Yang, Zhixin Liu, Event-triggered nonlinear filtering for networked systems with correlated noises, Pages 5811-5829
- Deyin Yao, Hongru Ren, Panshuo Li, Qi Zhou, Sliding mode output-feedback control of discrete-time Markov jump systems using singular system method, Pages 5576-5591
- Xudong Li, Xiong Chen, Changsheng Zhou, Combined Observer-Controller Synthesis for Electro-Hydraulic Servo System with Modeling Uncertainties and Partial State Feedback, Pages 5893-5911


Journal of the Franklin Institute
Vol. 355, Iss. 14
September 2018

- M.J. Park, S.H. Lee, O.M. Kwon, J.H. Ryu, Enhanced stability criteria of neural networks with time-varying delays via a generalized free-weighting matrix integral inequality, Pages 6531-6548
- A. Aziz Khater, Ahmad M. El-Nagar, Mohammad El-Bardini, Nabila M. El-Rabaie, Adaptive T–S fuzzy controller using reinforcement learning based on Lyapunov stability, Pages 6390-6415
- Wenhui Liu, Ziran Chen, Fei Xie, Ping Li, Fuzzy observer-based sampled-data control for a class of pure-feedback nonlinear systems, Pages 6416-6434
- Shao-Hua Yang, Zong-Yao Sun, Zhuo Wang, Ting Li, A new approach to global stabilization of high-order time-delay uncertain nonlinear systems via time-varying feedback and homogeneous domination, Pages 6469-6492
- Mingwen Zheng, Lixiang Li, Haipeng Peng, Jinghua Xiao, Yixian Yang, Yanping Zhang, Hui Zhao, Fixed-time synchronization of memristor-based fuzzy cellular neural network with time-varying delay, Pages 6780-6809
- Ahmadreza Argha, Li Li, Steven W. Su, Hung Nguyen, Sparsely distributed sliding mode control for interconnected systems, Pages 6191-6214
- Hossein Beikzadeh, Guangjun Liu, Trajectory tracking of quadrotor flying manipulators using L1 adaptive control, Pages 6239-6261
- Zhe Li, Guang-Hong Yang, A data-driven covert attack strategy in the closed-loop cyber-physical systems, Pages 6454-6468
- Tian-Tian Guo, Kemei Zhang, Xue-Jun Xie, Output feedback stabilization of high-order nonlinear systems with polynomial nonlinearity, Pages 6579-6596
- Amer M. Magableh, Osamah S. Badarneh, Imran Shafique Ansari, Taimour Aldalgamouni, Error analysis of TAS/MRC in Rayleigh fading channel with non-Gaussian noise, Pages 6877-6888
- Changchun Hua, Jiannan Chen, Xinping Guan, Adaptive prescribed performance control of QUAVs with unknown time-varying payload and wind gust disturbance, Pages 6323-6338
- Qing Wang, Jin-Liang Wang, Yan-Li Huang, Shun-Yan Ren, Generalized lag synchronization of multiple weighted complex networks with and without time delay, Pages 6597-6616
- Shi Liang, Zhenyu Liu, Chan Qiu, Jianrong Tan, Generalized pseudo-Bayesian estimator for networked control systems over UDP-like channels, Pages 6657-6674
- Gianfranco Gagliardi, Francesco Tedesco, Alessandro Casavola, A LPV modeling of turbocharged spark-ignition automotive engine oriented to fault detection and isolation purposes, Pages 6710-6745
- Tao Zhan, Xinzhi Liu, Shuping Ma, A new singular system approach to output feedback sliding mode control for fractional order nonlinear systems, Pages 6746-6762
- R. Sakthivel, R. Sakthivel, V. Nithya, P. Selvaraj, O.M. Kwon, Fuzzy sliding mode control design of Markovian jump systems with time-varying delay, Pages 6353-6370
- Ahmadreza Abazari, Mehdi Ghazavi Dozein, Hassan Monsef, An optimal Fuzzy-logic based frequency control strategy in a high wind penetrated power system, Pages 6262-6285
- Mohamed Hamdy, Raafat Shalaby, Mostafa Sallam, A hybrid partial feedback linearization and deadbeat control scheme for a nonlinear gantry crane, Pages 6286-6299
- Yurong Liu, Zidong Wang, Lifeng Ma, Fuad E. Alsaadi, Robust H∞ control for a class of uncertain nonlinear systems with mixed time-delays, Pages 6339-6352
- Lianghong Peng, Xianghui Cao, Hongbao Shi, Changyin Sun, Optimal jamming attack schedule for remote state estimation with two sensors, Pages 6859-6876
- Jimin Wang, Shuping Ma, Chenghui Zhang, Minyue Fu, Observer-based control for singular nonhomogeneous Markov jump systems with packet losses, Pages 6617-6637
- Suying Sheng, Xiaomei Zhang, Guoping Lu, Finite-time outer-synchronization for complex networks with Markov jump topology via hybrid control and its application to image encryption, Pages 6493-6519
- Xiushan Jiang, Senping Tian, Tianliang Zhang, Weihai Zhang, Stability analysis of time-varying discrete stochastic systems with multiplicative noise and state delays, Pages 6638-6656
- Junyuan Yang, Fei Xu, Global stability of two SIS epidemic mean-field models on complex networks: Lyapunov functional approach, Pages 6763-6779
- Jui-Pin Tseng, Global synchronization in nonlinearly coupled delayed memristor-based neural networks with excitatory and inhibitory connections, Pages 6549-6578
- Marco A. Arteaga–Pérez, Emmanuel Nuño, Velocity observer design for the consensus in delayed robot networks, Pages 6810-6829
- Mohammad K. Al-Sharman, Mohammad A. Jaradat, Mamoun F. Abdel-Hafez, Intelligent attitude and flapping angles estimation of flybarless helicopters under near-hover conditions, Pages 6830-6858
- Zhen Wang, Liang Shen, Jianwei Xia, Hao Shen, Jing Wang, Finite-time non-fragile l2−l∞ control for jumping stochastic systems subject to input constraints via an event-triggered mechanism, Pages 6371-6389
- Kai Wang, Junghui Chen, Zhihuan Song, A new excitation scheme for closed-loop subspace identification using additional sampling outputs and its extension to instrumental variable method, Pages 6675-6692
- Zhiyong Jiang, Peng Yan, H∞ output-feedback control for discrete-time switched linear systems via asynchronous switching, Pages 6215-6238
- Dailiang Ma, Yuanqing Xia, Ganghui Shen, Zhiqiang Jia, Tianya Li, Flatness-based adaptive sliding mode tracking control for a quadrotor with disturbances, Pages 6300-6322
- Yuanyuan Li, Jungang Lou, Zhen Wang, Fuad E. Alsaadi, Synchronization of dynamical networks with nonlinearly coupling function under hybrid pinning impulsive controllers, Pages 6520-6530
- Mehdi Nategh, On frequency distribution of impulsive feedback control times, Pages 6693-6709
- Shaohua Luo, Shaobo Li, Farid Tajaddodianfar, Jianjun Hu, Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks, Pages 6435-6453

4.11. Contents: Evolution Equations & Control Theory
Contributed by: Irena Lasiecka,

Evolution Equations & Control Theory (EECT)
Volume 4, Number 3, September 2018

New issue Volume 4, Number 3, September 2018 of Evolution Equations & Control Theory (EECT) is now published online:

4.12. CFP: Asian Journal of Control
Contributed by: Li-Chen Fu,

Asian Journal of Control
Special Issue on “Optimization and Learning in Logical Control Network Systems”

During the past few decades, logical network systems, including Boolean network systems, have shown successful development and great potential applications due to the development of utility theory and effective tools. Logical network systems which admit logical evolution behavior, have been applied in various fields. The widely concerned fields include networked evolutionary game, gene regularity networks, social and economic networks, combustion engines, coding and decoding, and other research areas concerning about logical behaviors. Due to scale, complexity and dynamics, some complex networks are difficult to analyze the performance, while modeling by logical networks makes it relatively simple to observe the logical evolution. Recently, an algebraic state space approach has been proposed to model and analyze the logical behaviors of logical control networks. Using the algebraic state space approach, it is more convenient to model, analyze and design control protocols for complex logical networks. One of the main challenges in logical network systems is that how to find or learn the best strategy of logical control networks in a complex and uncertain environment. This special issue is focusing on the latest development, trends, and novel techniques of optimization and learning in logical control network systems and their applications.

The principal topics planned to be covered are as follows, but are not limited to:
• Optimization and control in complex logical networks
• Learning/statistical learning of complex logical networks and its applications
• Stability/controllability/observability analysis of logical dynamic systems
• Modeling, analysis and control issues of Boolean networks
• Applications in systems biology, Petri networks, cellular automata, and evolutionary networked game
• Applications in integrated circuits, power grids, combustion engines, and other engineering fields

Important Dates:

September 30, 2018 Deadline for submissions
December 31, 2018 Completion of First Review
March 31, 2019 Completion of Final Review
April 30, 2019 Receipt of Final Manuscript
July 30, 2019 Publication (Tentatively Vol. 21, No. 4)

Guest Editors:

Tielong Shen
Sophia University, Tokyo, Japan

Bijoy Ghosh
Texas Tech University, USA

Yuhu Wu
Dalian University of Technology, China

Shun-ichi Azuma
Nagoya University, Japan

About AJC:

The Asian Journal of Control, an ACA (Asian Control Association) affiliated journal, is the first international journal originating from the Asian Pacific region and being recognized by the major body of control researchers in this region. The Asian Journal of Control publishes bimonthly high-quality papers on original theoretical and experimental research and development in the areas of control, involving all facets of control theory and its application. Functionally, this journal not only provides a forum where control researchers and practitioners can exchange their knowledge and experiences in control areas, but also serves as an educational means for students and any others who would like to learn new topics in this technical area. The journal aims to be a key interface between control communities within the Asian Pacific region and throughout the world and is listed by Science Citation Index Expanded.

How to submit:

Potential authors are encouraged to upload the electronic file of their manuscript (in PDF format) through the journal’s online submission website: If you encounter any submission problems, please contact Prof. Lichen Fu, the Editor-in-Chief. E-mail: All submission should include a title page containing the title of the paper, an abstract and a list of keywords, authors’ full names and affiliations, complete postal and electronic address, phone and fax numbers. The contacting author should be clearly identified. For detailed submission guidelines, please visit

4.13. CFP: International Journal of Adaptive Control and Signal Processing
Contributed by: Yongping Pan,

CFP: International Journal of Adaptive Control and Signal Processing

The submission deadline 31 Aug 2018 is approaching!

The journal invits authors to submit original articles on learning from adaptive control under relaxed excitation conditions rather than the classical condition of persistent excitation (PE).

The capacity to learn is one of the fundamental features of autonomous intelligent behaviour which is reflected by parameter convergence in adaptive control [1]. Learning is desirable as it enhances stability and robustness properties of adaptive control systems such as superior trajectory tracking, accurate online modelling, and robustness against various perturbations. However, the classical PE condition that guarantees to learn from adaptive control is too stringent and usually infeasible in practice [2]. Even when PE exists, the learning speed in adaptive control heavily depends on the PE strength resulting in a generally slow learning process. The exploitation of online historical data provides a promising way to achieve learning from adaptive control without PE and has attracted great attention in recent years, where typical emerging techniques include concurrent learning [3] and composite learning [4]. In these emerging learning techniques, online historical data are exploited together with instantaneous data to construct special prediction errors that are available from measurable signals, and both prediction and tracking errors are employed to update parameter estimates so that learning can be achieved under weaker excitation conditions.

This special issue aims to provide state-of-the-art developments about learning from adaptive control, with a special focus on online historical data-driven adaptive control and parameter estimation as well as their applications to various real-world problems. However, other contributions that also aim to relax the classical PE condition for parameter convergence are also warmly welcome. Interested topics include but are not limited to:

- Composite learning for adaptive control and parameter estimation
- Concurrent learning for adaptive control and parameter estimation
- Learning from adaptive control under functional uncertainties
- Learning from adaptive control under time-varying uncertainties
- Learning from adaptive control under various perturbations
- Other learning techniques for parameter convergence without PE
- Real-world applications of all above emerging learning techniques

Authors are requested to submit their manuscripts online at the journal submission website: When submitting, please choose manuscript type “Learning From Adaptive Control Under Relaxed Excitation Conditions” and answer “Yes” to “Is this submission for a Special Issue?” The schedule of the Special Issue is shown as follows, but submissions will follow the first-come first-review policy.

Time Table:

Deadline for first submissions: 31 Aug 2018
Decision of first submissions: 31 Nov 2018
Deadline for second submissions: 30 Jan 2019
Final decision notification: 31 Mar 2019
Expected publication: Summer 2019

Guest Editors:

Dr Yongping Pan (Lead) Email:;
Department of Biomedical Engineering, National University of Singapore, Singapore
Prof Alexey Bobtsov Email:
Department of Control Systems and Informatics, ITMO University, Russia
Prof Mohamed Darouach Email:
Research Center for Automatic Control of Nancy, University of Lorraine, France
Prof Young-Hoon Joo Email:
Department of Control and Robotics Engineering, Kunsan National University, Korea

You are welcome to contact the Leading Guest Editor for further information. For online information, please visit the homepage of the journal:

1. Antsaklis PJ. Intelligent learning control. IEEE Control Syst. Mag. 1995; 15(3): 5-7.
2. Farrell JA. Persistence of excitation conditions in passive learning control. Automatica 1997; 33(4): 699-703.
3. Kamalapurkar R, Reish B, Chowdhary G, Dixon WE. Concurrent learning for parameter estimation using dynamic state-derivative estimators. IEEE Trans. Autom. Control 2017; 62(7): 3594-3601.
4. Pan Y, Yu H. Composite learning from adaptive dynamic surface control. IEEE Trans. Autom. Control 2016; 61(9): 2603-2609.

5. Conferences

5.1. IFAC Conference on Cyber-Physical & Human Systems
Contributed by: Yue Wang,

The global controls community and the wider scientific community interested in the broad range of questions and implications emerging from the relationships between humans and technology are invited to participate in the Second IFAC Conference on Cyber-Physical & Human Systems (CPHS). Taking place in Miami just days before the 2018 Conference on Decision and Control (CDC), CPHS 2018 aims to bring together researchers and practitioners from academia and industry to share scientific and technological advances as well as gain a deeper understanding of the interactions between cyber-physical systems and humans. Of particular focus are human-centered technologies in a wide-range of applications including transportation, energy, robotics, manufacturing, and health-care.

Miami is a popular vacation spot, not only in the United States, but in the world! The Miami area offers multiple attractions for all. Conveniently located in Downtown Miami, the Hyatt Regency hotel captures the spirit of the city. With its striking white towers overlooking the Miami River, Hyatt Regency Miami is a landmark hotel offering first rate service. The hotel enjoys easy access to popular attractions such as Brickell City Center for world-class shopping, Wynwood Art District with galleries and museums, the Adrienne Arsht Center for the performing arts, Coral Gables with a Venetian Pool and botanical garden, and the Latin flavor of Little Havana. The hotel is a just a short 15-minute drive from South Beach. There’s no better way to enjoy the Florida sunshine than with Hyatt Regency Miami as your home base.

The conference program, through a combination of paper and poster presentations, will showcase the interactions between cyber-physical systems and humans during December 14 and 15. Two plenary lectures – one by a prominent social scientist and the other by a roboticist -- are featured. A panel exploring the interface between engineers and social-scientists, and a mini-workshop on transdisciplinary communication and collaboration have been arranged. A special session that showcases hardware and software demonstrations of current CPHS research is also included.

The IFAC CPHS Young Author Prize will be awarded to the best paper by a student author, and the CPHS Best Poster Prize to the best interactive presentation. Accepted papers will be published in the open-access IFAC-PapersOnLine series hosted on ScienceDirect (

Advance registration will open September 1, 2018 and is highly recommended. All attendees must register. See the CPHS 2018 website for registration fees and other details.

5.2. IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems
Contributed by: Rodolfo C. C. Flesch,

12th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS 2019)
April 23-26, 2019 - Jurerê Beach Village Hotel - Florianópolis, Brazil
Announcement and call for papers

DYCOPS is the triennial meeting of IFAC for bringing together specialists active in academic research and industrial development in the broad field of process dynamics, control and optimization applied to bio/chemical systems and biotechnology. The objectives of the DYCOPS 2019 are to provide a forum for professionals and students involved in the broad field of process control engineering to integrate and exchange their knowledge, experience, and results. During the symposium, participants will present new ideas in diverse areas of dynamics, optimization and control of process systems and discuss the latest theoretical developments and control applications for the process and biotechnological industries.

General areas covered by DYCOPS include: Process control • Dynamic modeling and simulation for control and operation • Interaction between design and control • Modeling and identification • Batch process modeling and control • Process and performance monitoring • Fault detection, diagnosis, supervision, and safety • Integration between scheduling and control • Process optimization • Plantwide control • Smart manufacturing • Model predictive control • Scheduling, coordination and optimization • Process control education • Data mining tools • Sensors and soft sensors • Process analytical technology (PAT) • Microbial technology • Metabolic flux modeling and engineering • Systems and synthetic biology • Industrial biotechnology • Biopharmaceutical processes • Biocatalysis (enzymatic reactions) • Food engineering • Wastewater treatment processes • Mammalian, insect, and plant cell technology • Bioenergy production (bioethanol, algae, anaerobic digestion).

A Special Issue of Journal of Process Control will include extended versions of selected papers presented at DYCOPS 2019. All accepted papers will be available in the IFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service.


September 14, 2018: Deadline for Papers / Session proposals / Pre-symposium workshop proposals
December 14, 2018: Notification of acceptance
January 18, 2019: Upload of final camera-ready Papers


Paper submission site:
See the conference website for detailed instructions.

5.3. ASME Dynamic Systems and Control Conference
Contributed by: Yue Wang,

2018 ASME Dynamic Systems and Control Conference

Yue Wang,

The 2018 Dynamic Systems and Control Conference (DSCC) will be held on September 30 – October 3, 2018 at the Hyatt Regency Atlanta Hotel, located in the heart of downtown Atlanta, Georgia. The technical program of 2018 DSCC is now available at the conference website:

Plenary Talks. Aside from 42 technical sessions spanning a range of topics of interest to the DSCD community, the conference will feature four exciting plenary talks:
- October 1: Professor Huei Peng, University of Michigan, “How control theories were used to improve energy and safety of automotive systems” (Nyquist Lecture)
- October 2: Professor Marcia O’Malley, Rice University, “Towards robots that teach and learn through physical human-robot interaction”
- October 2: Professor Roberto Horowitz, UC Berkeley, “Modeling, control and estimation of traffic road networks” (Oldenburger Lecture)
- October 3: Professor Magnus Egerstedt, Georgia Tech, “Long duration autonomy and constraint-based coordination of multi-robot systems”

Workshops. Five workshops on emerging topics will be offered conveniently on the afternoon of September 30, before the welcome reception of the conference:
- Workshop 1: From data to models and decisions in engineering systems, 1:00 pm – 5:00 pm (Organizers: Annalisa Scacchioli, Rutgers University; Mahdi Shahbakhti, Michigan Technological University)
- Workshop 2: Enhancing energetic performance for mobile and wearable robotic systems, 1:00 pm – 5:00 pm (Organizers: Anirban Mazumdar and Aaron Young, Georgia Tech)
- Workshop 3: Connected and automated vehicles, 12:00 pm – 6:00 pm (Organizers: Mahdi Shahbakhti, Michigan Technological University; Hosam Fathy, Pennsylvania State University)
- Workshop 4: The future of mechatronics and robotics education, 1:00 pm – 5:00 pm
(Organizers: Vikram Kapila, New York University; Michael A. Gennert, Worcester Polytechnic Institute; James Mynderse, Lawrence Technological University; Nima Lotfi, Southern Illinois University Edwardsville)
- Workshop 5: Autonomous control for rotorcraft operation, 1:00 pm – 5:00 pm (Organizer: Cornel Sultan, Virginia Tech)

Student Programs. The conference provides a number of student programs. In addition to student travel support, it features
- Best Student Paper competition, 6-7 pm on October 1
- Networking with Academia, 12-1 pm on October 2
- Networking with Industry, 12-1 pm on October 2

Other events:
- Early Academic Career Panel, 12-1 pm on October 1, where some NSF CAREER Awardees will share their insight and tips
- Special session on research funding programs, 1:30-3:30pm on October 2, where program directors will share information on various funding programs of interest
- Georgia Tech tour, 1-5 pm on October 3, where attendees will get a chance to tour a number of robotics and control labs on Georgia Tech campus
- Welcome reception, 6-8:30 pm on September 30
- Awards ceremony and banquet, 6:30-9:30 pm on October 2
- Networking breakfast and coffee breaks every day

5.4. European Control Conference
Contributed by: Bruno Siciliano,

Dear Colleagues:

We would like to invite you to submit research articles to the 17th European Control Conference (ECC19), organised by University of Naples Federico II and University of Sannio.

The European Control Conference is the annual conference promoted by the European Control Association and is intended to provide a stimulating environment for the productive exchange of ideas and developments in the area of systems and control and their various applications.

ECC19 will take place in Naples, "the city of the sun"!

We would be delighted to have you with us at the conference to hear what the technology experts and researchers have to share about both methodology and technology advancements.

Conference Venue: Hotel Royal Continental, Naples, Italy
Conference Dates: 25-28 June 2019
Paper Submission: 29 October 2018

Please do take your time to explore the conference website below for more details, check out important dates, and keep yourself up to date on recent news:

We kindly request you to forward this email or the conference flyer ( to your colleagues/researchers/students in order to promote the conference.

Thanks very much in advance and best wishes for the end of the summer!

Bruno Siciliano
Publicity Chair

Raffaele Iervolino
Publicity Co-Chair

5.5. ACM International Conference on Hybrid Systems: Computation and Control
Contributed by: Taylor Johnson,

ACM HSCC 2019 Call for Papers
22nd ACM International Conference on Hybrid Systems: Computation and Control (HSCC)
Part of CPS-IoT Week 2019
April 16-18, 2019
Montreal, Canada

Conference Scope
Hybrid Systems: Computation and Control (HSCC) 2019 is the 22nd in a series of conferences focusing on original research on concepts, tools, and techniques from computer science, control theory, and applied mathematics for the analysis and control of hybrid dynamical systems with an emphasis on computational aspects. By drawing on strategies from computation and control, the hybrid systems field offers techniques that are applicable to both man-made cyber-physical systems (ranging from small robots to global infrastructure networks) and natural systems (ranging from biochemical networks to physiological models). Papers in the conference are expected to range over a wide spectrum of topics from theoretical results to practical considerations, and from academic research to industrial adoption.

Topics of interest include, but are not limited to:
- Mathematical foundations, computability and complexity
- Analysis, verification, validation, and testing
- Modeling paradigms and techniques
- Design, synthesis, planning, and control
- Programming and specification languages
- Network science and network-based control
- Security, privacy, and resilience for cyber-physical systems with focus on computation and control
- Safe autonomy, Artificial intelligence and Machine learning in CPS
- Software tools for the above topics
-Applications and industrial case studies in: automotive, transportation, autonomous systems, avionics, energy and power, robotics, medical devices, manufacturing, systems and synthetic biology, models for the life sciences, and other related areas.

New this Year! Special track papers on Safe autonomy, Artificial Intelligence and Machine Learning We invite regular submissions in topics related to safe autonomy, AI and ML in CPS. Formatting instructions are same as that for regular papers, however, the authors will indicate their interest in the special track during the submission. We will include these in a special session at HSCC along with few invited speakers related to this topic.

Submission guidelines
HSCC invites submissions in the categories of (1) regular papers including special track papers in Safe autonomy, AI and ML for CPS, and (2) case study and tool papers. We will employ a double blind reviewing process and will have a rebuttal phase to provide authors the opportunity to reply to reviewer concerns. Papers need to be submitted for review using Easychair:

Paper submission information
- Regular papers including special track papers on Safety Autonomy, AL and ML in CPS (maximum 10 pages, 10pt font, two-column ACM format)
- Tool and Case Study Papers (maximum 6 pages, 10pt font, two-column ACM format)

Important dates
Abstract submission deadline (optional): October 10, 2018 (AOE)
Paper submission deadline: October 17, 2018 (AOE)
Tool paper repeatability package submission deadline: October 22, 2018 (AOE)
Rebuttal phase: December 3-5, 2018
Acceptance/rejection notifications: December 21, 2018
Camera-ready: February 15, 2019
Conference dates: April 16-18, 2019

- HSCC will have an ACM SIGBED Best Paper Award, all regular papers will be automatically eligible for this award.
- HSCC will institute an "HSCC Test-Of-Time Award". The rules for eligibility, nomination and selection of the paper for this award can be found here.
- Repeatability evaluation: Papers that pass repeatability evaluation process will receive the "artifact evaluated" badge and there will be a Best RE Award.
- Best Demo/Poster: All demos and posters accepted for presentation at HSCC’19 will be eligible for the best demo/poster award.

Program Committee Chairs
Necmiye Ozay (University of Michigan, Ann Arbor, USA)
Pavithra Prabhakar (Kansas State University, USA)

Repeatability Evaluation Chair
Sergiy Bogomolov (Australian National University, Australia)

Publicity Chair
Taylor T. Johnson (Vanderbilt University, USA)

Steering Committee
Rajeev Alur (University of Pennsylvania, USA)
Werner Damm (OFFIS, Germany)
Martin Fränzle (Universität Oldenburg, Germany)
John Lygeros (ETH Zurich, Switzerland)
Oded Maler (Verimag, Fran
Paulo Tabuada (UCLA, USA)
Claire Tomlin (University of California, Berkeley, USA)

5.6. ACM/IEEE International Conference on Cyber-Physical Systems
Contributed by: Jana Tumova,

The 10th ACM/IEEE International Conference on Cyber-Physical Systems
April 16-18, 2019 in Montreal, Canada, part of CPSWeek 2019

Overview: As digital computing and communication become faster, cheaper, and available in packages that are smaller and use less power, these capabilities are increasingly embedded in many objects and structures in the physical environment. Cyber-physical systems (CPS) are physical and engineered systems whose operations are monitored, coordinated, controlled, and integrated by computing and communication. Broad CPS deployment is transforming how we interact with the physical world as profoundly as the world wide web transformed how we interact with one another, and further harnessing their capabilities holds the possibility of enormous societal and economic impact.

ACM/IEEE ICCPS is the premier single-track conference for reporting advances in all CPS aspects, including theory, tools, applications, systems, test-beds and field deployments. The conferences focuses on the core science to develop fundamental principles that underpin the integration of cyber and physical elements, as well as on the development of technologies, tools, architectures and infrastructure for building CPS systems, highlighting the design, implementation, and investigation of CPS applications. Application domains include (but are not limited to): transportation, energy, water, agriculture, medical and assistive technology, sensor and social networks, robotics, smart cities, ecology, and supply-chains. Among the relevant research areas are security, control, optimization, machine learning, game theory, mechanism design, mobile and cloud computing, model-based design, verification, data mining / analytics, signal processing, and human-in-the-loop shared or supervisory control.

All submissions must be in English. Only original papers that are not submitted or published in other conferences or journals will be considered. Manuscripts should have a main body with no more than 10 pages. Up to 2 additional pages of appendices may follow the main body of the paper, within the same submitted .pdf file. The submissions must be in the ACM two-column conference style, US Letter (8.5 inch x 11 inch) paper size, and 10pt text font size.

Important Dates:
Full paper submission deadline: October 17, AoE, 2018 (FIRM deadline, see CPSWeek deadline policy),
Author notification: December 28, 2018,
Camera-ready paper due: February 15, 2019.

General Co-Chairs:
Xue Liu, McGill University, Canada
Paulo Tabuada, UCLA, USA

Program Co-Chairs:
Linda Bushnell, University of Washington, USA
Miroslav Pajic, Duke University, USA

Steering Committee:
Insup Lee, University of Pennsylvania, USA
Jack Stankovic, University of Virginia, USA
Eric M. Feron, Georgia Institute of Technology, USA
Karl H. Johansson, Royal Institute of Technology (KTH), Sweden
Xenofon Koutsoukos, Vanderbilt University, USA
Raj Rajkumar, Carnegie Mellon University, USA
Chris Gill (Ex Officio), Washington University in St. Louis, USA
Bruno Sinopoli (Ex Officio), Carnegie Mellon University, USA

5.7. IEEE Workshop on Cyber-Physical Networking
Contributed by: Sebastian Trimpe,

Call for Papers

1st IEEE Workshop on Cyber-Physical Networking
(CPN - co-located with IEEE CCNC 2019)
January 11 - 14, 2019 in Las Vegas, USA

Workshop website:

Increasing the data rates of communication systems has been a major research objective of the past decades. The corresponding research efforts lead to the modern information society of today. Recently, we see a rapid spread of cyber-physical applications such as telemedicine, smart production and infrastructure systems. Such systems build the backbone for e.g. Industry 4.0 environments and operate with feedback control loops that are closed over communication channels and, thus, impose real-time requirements on the communication system. Predictably low latency is generally a desirable property, however, it challenges concurring requirements for high reliability, spectral, and energy efficiency in particular when wireless links used. Classical approaches for the independent design of communication and control have reached their limits for quite some time.

The research objective in the area of cyber-physical networking is to develop a theoretical and practical basis for the paradigmatic change from throughput- to real-time-oriented communication in networked control systems. In order to meet the requirements of cyber-physical applications, a tight (horizontal and vertical) integration of all communication, control, and system components is necessary in order to fully exploit their individual elasticity and mutual adjustment potential. We understand cyber-physical networking as including all aspects of such a system, in particular network and communication, control and the physical system itself. Ultimately, this workshop aims to bring together leading researchers in the area of communication, control and systems design - to share views on approaches to bring together these domains for enabling cyber-physical networking.

We encourage the submission of courageous research ideas and proposals that explore the potential of cyber-physical networks, also off the beaten track.

Submissions are encouraged to cover multiple of the following top-level topics (but not limited to).

Application Scenarios for Cyber-Physical Networks:
- Benchmarks, Quality Metrics, and Testbeds
- Industry Case Studies and Experience Reports
- Consumer Products
Control Design and Architectures for Cyber-Physical Networks:
- Performance, Stability, and Robustness Guarantees
- Machine Learning and Artificial Intelligence
- Model-Predictive, Optimal, Learning-Based, and Robust Control
Network Architectures and Protocols for Cyber-Physical Networks:
- Mobility Aspects
- Latency and Resilience Awareness
- Time-Sensitive Networking
Operating System Approaches for Cyber-Physical Networks:
- Resource Management
- Timeliness and Energy Awareness
- Local and Distributed Dependability

The workshop allows two types of submissions: papers and demos. Submitted papers must represent original material that is not currently under review in any other conference or journal, and has not been previously published. All paper submissions should be written in English with a maximum paper length of six (6) printed pages (10-point font) following the IEEE format. All demo submissions come in form of an extended abstract with a maximum length of two (2) printed pages with the same format as paper submissions. At the workshop, demos are required to bring a poster (A0) that accompanies their presentation. We also encourage the paper authors to optionally present a demo. This does not require a separate submission of an extended abstract but is covered by the paper submission.

For more details, please refer to IEEE CCNC 2019 conference website:

Workshop website:

5.8. Allerton Conference on Communication, Control, and Computing
Contributed by: Peggy Wells,

On behalf of Negar Kiyavash and Daniel Liberzon, co-chairs of the 56th Allerton Conference on Communication, Control, and Computing-October 2-5, 2018, registration is now open to attend the 2018 Allerton Conference.

AFTER AUGUST 6 — Registration Opens
OCTOBER 2 — Opening Tutorial Lectures given by Paulo Tabuada and Joao Hespanha at the Coordinated Science Lab, University of Illinois at Urbana-Champaign
OCTOBER 3-5 — Conference Sessions at the University of Illinois Allerton Park & Retreat Center. The Allerton House is located 26 miles southwest of the Urbana-Champaign campus of the University of Illinois in a wooded area on the Sangamon River. It is part of the 1,500 acre Robert Allerton Park, a complex of natural and man-made beauty designated as a National natural landmark. Allerton Park has 20 miles of well-maintained trails and a living gallery of formal gardens, studded with sculptures collected from around the world.
PLENARY SPEAKER — A. Stephen Morse, Dudley Professor of Electrical Engineering at Yale University
OCTOBER 7 — Final Paper Deadline Final versions of papers that are presented at the conference must be submitted electronically in order to appear in the Conference Proceedings and IEEE

5.9. IEEE International Conference on Mechatronics
Contributed by: Michael Ruderman,

IEEE 2019 International Conference on Mechatronics (ICM2019)
18-20 March 2019, Ilmeanau, Germany

Call for papers:

15.09.2018: Deadline for Submission of Special Session Proposals
30.10.2018: Deadline for Full Paper Submission
15.12.2018: Notification of Acceptance
31.01.2019: Deadline for Final Manuscript Submission


ICM2019 is organized under motto “Mechatronics for Cross-disciplinary Research”.
The main conference topics include:
- Advanced Motion Control
- Sensors / Actuators
- Micro and Nano Mechatronics
- Robotics and Biomechatronics
- Intelligent Control and AI in Mechatronics
- Mechatronics Education

The targeted application fields cover:
- Ambient Assisted Living
- Personalized and Automated Transportation, Electric Vehicles
- Intelligent Manufacturing
- Energy Systems
- Cyber-Physical Systems
- Medical Systems and Bioengineering

The conference is not limited by the mentioned topics and application areas and invites researchers, engineers and practitioners to present their high-quality papers and presentations in various mechatronics-related subjects.


5.10. International Conference on Control, Automation and Systems
Contributed by: Zee Yeon Lee,

2018 18th International Conference on Control, Automation and Systems (ICCAS 2018)
October 17~20, 2018
YongPyong Resort, PyeongChang, GangWon Province, Korea

Call for Papers:

The aim of the ICCAS is to bring together researchers and engineers worldwide to present their latest works, and disseminate the state-of-the-art technologies related to control, automation, robotics, and systems.

- June 17, 2018 : Submission of Regular Papers (3~6 pages)
- July 13, 2018 : Submission of Organized Session/Mini-symposium Proposal with Papers and Research Poster Papers (1~2 pages)
- July 31, 2018 : Notification of Acceptance
- August 31, 2018 : Submission of Final Camera-ready Papers

The conference invites three types of submission: "Regular Paper", "Research Poster Paper", and "Organized (Invited) Session/Mini-symposium Paper".

To submit papers, go "Online Paper Submission" on the website:


Indexed in: IEEE Xplore, EI compendex, and SCOPUS

PLENARY SPEAKERS- Edwin K. P. Chong (Colorado State Univ., USA)
- Matthew W. Smuck (Stanford Univ., USA)
- Janan Zaytoon (Univ. of Reims, France)
- Xiaoyan Zhu (Tsinghua Univ., China)
- Hideaki Ishii (Tokyo Inst. of Tech., Japan)

-- Welcome to PyeongChang, 2018 Winter Olympics Venue --
PyeongChang is a county in Gangwon Province, South Korea. It’s known for Odaesan National Park, with trails crisscrossing the Taebaek Mountains. The park is also home to several Buddhist temples, including Woljeongsa Temple, with its 9-story octagonal pagoda. Lee Hyo-seok Culture Village explores the life of early-20th-century poet Lee Hyo-seok. On the Heungjeong Valley bank are the 7 themed gardens of Herbnara Farm.

General Chair: Chul Joo Hwang (President of ICROS; Jusung Engineering, Korea)
Organizing Chair: Sungwan Kim (Seoul Nat’l Univ., Korea)
Program Chair: Jung Kim (KAIST, Korea)
Organized by Institute of Control, Robotics and Systems (ICROS)

5.11. IEEE Colombian Conference on Automatic Control
Contributed by: Jhon Isaza,

First Call for Papers
4th IEEE Colombian Conference on Automatic Control 2019

Scope: The 4th IEEE Colombian Conference on Automatic Control (CCAC) will be held on October 15-18, 2019 in Medellin-Colombia. This conference is sponsored by the IEEE Control Systems Society. This is the fourth in a series that have been successfully established in the Colombian and Latin American region. The objective of the conference is to gather academics and industrial researchers and practitioners to discuss the state of the art, research, and developments in technological advances and applications of control engineering to encourage technology development in Colombia and the Latin American region. The conference includes all aspects around control engineering, from analysis and design to simulation and hardware. Major topics for the event include, but are not limited to, the following:

Applied control for industrial and non-industrial areas, applied control for robots, hybrid systems, intelligent control, mechatronics, mobile robots, modeling of dynamic systems, multi-robot systems, control of power systems, process control and automation, process optimization, sensing and sensor fusion, system identification, systems and signals, control of biological systems and biochemical processes.

Important Dates:
- Paper submission deadline: March 17 2019
- Paper decision notification: June 03 2019
- Camera-ready final manuscripts: July 15 2019

Paper submission: The program committee invites you to submit 4 to 6 pages long papers in English or Spanish through

Submitted papers to CCAC must be original, not previously published or accepted for publication elsewhere and must not be submitted to any other event or publisher during the entire review process. IEEE policy regarding plagiarism and duplicate submission/publication will be strictly enforced. The paper format and submission instructions are available at Accepted and presented papers will be published in the IEEE CCAC 2019 Conference Proceedings and submitted to IEEE Xplore®. Only English versions will be published in IEEE Xplore®.

Venue: The 4th IEEE CCAC 2019 will be held in Medellin from the 15th to 18th of October 2019. Medellin, the 2nd largest city in Colombia, is a vibrant city that offers a wide variety of tourist, gastronomic and cultural attractions.

Contact: Additional details and Conference updates are available at:
Inquiries and doubts about the conference may be addressed to:

5.12. CDC Workshop on “Computation-aware Algorithmic Design for Cyber-Physical Systems”
Contributed by: Majid Zamani,

CDC 2018 Full-day Workshop on "Computation-aware Algorithmic Design for Cyber-Physical Systems"

The main goal of the workshop is to highlight recent advances and developments in the field of cyber-physical systems (CPS) with a specific focus on the need of accounting for computation constraints in algorithm design, also dictated by the communication structure of the system. To this purpose, we will bring together outstanding researchers from leading institutions and industries worldwide. 
The target audience comprises graduate level control theorists, computer scientists and engineers, as well as researchers with a strong interest in CPS verification and control, either from a theoretical or an application perspective. In particular, the main topics being covered are:

1- CPS models that are computation aware;
2- Performance metrics under computation limitations;
3- Algorithm design for CPSs operating in an uncertain dynamic environment;
4- Communication constrained networked control systems.

Invited Speakers:

Murat Arcak, University of California at Berkeley, USA

Massimo Franceschetti, University of California at San Diego, USA

Karl H. Johansson, KTH Royal Institute of Technology, Sweden

George J. Pappas, University of Pennsylvania, USA 

Alessandro Pinto, United Technologies Research Center, USA 

Jonathan Sprinkle, University of Arizona, USA 

Panagiotis Tsiotras, Georgia Institute of Technology, USA


Raphaël Jungers – UC Louvain, Belgium

Maria Prandini – Politecnico di Milano, Italy

Ricardo Sanfelice – University of California Santa Cruz, USA

Majid Zamani – Technical University of Munich, Germany

The workshop will take place from 9:00 AM till 5:00 PM in the Splash 11 room, Fontainbleau Hotel, Miami Beach, on December 16, 2018.

Workshop website:

Registration link:

5.13. CDC Workshop on “Parameter Convergence in Adaptive Control without Persistence of Excitation”
Contributed by: Shubhendu Bhasin,

CDC 2018 Workshop on "Parameter Convergence in Adaptive Control without Persistence of Excitation"
Date, Time and Location: Sunday, December 16, 2018, 9:00 am – 1:00 pm, Splash 7-8, Fontainebleau Hotel, Miami Beach, FL, USA.

Sayan Basu Roy, IIT Delhi, India.
Shubhendu Bhasin, IIT Delhi, India.
Rushikesh Kamalapurkar, Oklahoma State University, USA.
Girish Chowdhary, UIUC, USA.
Warren Dixon, University of Florida, Gainesville, USA.

Broad Areas Covered:

Stability/Convergence properties of Classical Adaptive Control
Stability/Convergence properties of Composite Adaptive Control
Persistence of Excitation (PE) condition and its practical limitations
Recent Advances to relax the PE condition for parameter convergence
Concurrent Learning (CL)-based Adaptive Control
Integral Concurrent Learning (ICL)-based Adaptive Control
Initial Excitation (IE)-based Adaptive Control

Registration link:

Workshop webpage:

5.14. CDC Workshop on “Learning for Control”
Contributed by: Konstantinos Gatsis,

Workshop on Learning for Control, 57th IEEE Conference on Decision and Control, Miami Beach, Florida, December 16, 2018

Over the past two decades, advances in computing and communications have resulted in the creation, transmission and storage of data from all sectors of society. Over the next decade, the biggest generator of data is expected to be Internet-of-Things devices which sense and control the physical world. This explosion of data that is emerging from the physical world requires a rapprochement of areas such as machine learning, control theory, and optimization. The availability and scale of data, both temporal and spatial, brings a wonderful opportunity for our community to both advance the theory of control systems in a more data-driven fashion, as well as have a broader industrial and societal impact. The goals of our workshop are:

- Present state-of-the-art results in the theory and application of Learning for Control, including topics such as statistical learning for control, reinforcement learning for control, online and safe learning for control
- Bring together some of the leading researchers across the fields in order to promote cross-fertilization of results, tools, and ideas, and stimulate further progress in the area
- Attract new researchers in these exciting problems, creating a larger yet focused community that thinks rigorously across the disciplines and asks new questions

Michael I. Jordan, University of California, Berkeley

Dimitri P. Bertsekas, Massachusetts Institute of Technology
Francesco Borrelli, University of California, Berkeley
Giuseppe Carlo Calafiore, Politecnico di Torino
Maryam Fazel, University of Washington
Frank L. Lewis, University of Texas at Arlington
Benjamin Recht, University of California, Berkeley
Angela Schoellig, University of Toronto
Claire J. Tomlin, University of California, Berkeley

Konstantinos Gatsis, University of Pennsylvania
Pramod P. Khargonekar, University of California, Irvine
Manfred Morari, University of Pennsylvania
George J. Pappas, University of Pennsylvania

The workshop will take place on Sunday December 16, 2018 during the 57th IEEE Conference on Decision and Control at the Fontainebleau in Miami Beach, FL, USA. Please note that only people who have registered for the conference can register for the workshop.

Registration link:

Workshop website:

6. Positions

6.1. PhD: LAAS, France
Contributed by: Aneel Tanwani,

Open PhD position: Analysis and control of complex interconnected dynamical systems

A PhD position is available within team MAC at Laboratoire d'Analyse et d'Architecture des systèmes (LAAS) in Toulouse, France. The position is expected to last three years with a monthly stipend of nearly 1500 euros net. The thesis will focus on the study of control of interconnections of constrained dynamical systems. Primary objective of the thesis is to develop mathematical tools for numerical and stability analysis of such systems, and use them in designing appropriate feedback controllers. Some intermediate details about the project can be found at:

6.2. PhD: University of Sannio in Benevento, Italy
Contributed by: Davide Liuzza,

PhD positions in mobile robotics - Unisannio, Italy

PhD Position available at the Department of Engineering of the University of Sannio in Benevento, Italy.
Contacts: Prof. Luigi Glielmo (email, Prof. Luigi Iannelli (email, Dr. Davide Liuzza (email, Giuseppe Silano (email

The GRACE (Group for Research on Automatic Control Engineering) at the University of Sannio offers two PhD positions for an incoming European Project on CPS for farming scenarios to be started in October 2018.

The successful candidates will conduct original research on drone navigation and control in unknown environments (with special emphasis on woods and orchard) based on visual odometry information.
Our ideal candidates have a sound knowledge in robotics and computer vision from their Bachelor and Master degrees, experience in drone navigation, SLAM, computer vision algorithms and virtual reality environments for robotic applications (such as Gazebo, V-Rep, Webots, AirSim, etc.). Furthermore, a basic knowledge of ROS is desirable.
The candidates will also have to demonstrate experience in object programming (C++, Java), general skills in computer programming (Python, C, XML, and so on) an excellent academic track record, well developed problem solving skills and a strongly motivated personality. Familiarity with open source OS (Ubuntu) and version control systems (Git and Mercurial) is a plus. Interests in both theoretical robotic research and mobile robotic applications as well as the ability of working independently complete the candidate profiles.

The candidates will be selected according to applicant fulfilment of the above qualifications.

Interested candidates must send detailed CV, two contacts to whom we can ask reference letters, and any other useful documentation to the email address:, and (please, include all the addresses).

Answers will be given at the beginning of September, 2018.

The selected candidate will join the control system group at the University of Sannio in Benevento, Italy. The project involves an academic and industrial panel of roughly 50 European partners.

6.3. PhD: Delft University of Technology, The Netherlands
Contributed by: Sergio Grammatico,

3 PhD positions: Game theoretic Control, Complex Systems of Systems, Operator Theory
Delft Center for Systems and Control (DCSC), Delft University of Technology, The Netherlands.

I am looking for 3 talented, outstanding candidates with an M.Sc. degree (or close to completion) in Systems and Control, or Applied Mathematics, Electrical or Mechanical Engineering, or related field, with theoretical background and interest in System Theory, Automatic Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required).

General project description: The candidates will conduct theoretical and algorithmic research on complex multi-agent systems characterized by the presence of: (i) mixed cooperative and noncooperative agents; (ii) uncertain and stochastic variables; (iii) mixed-integer decision variables. The research will develop and build upon tools from game theory, monotone and fixed-point operator theory, statistical learning, distributed optimization and control. The main application areas are distributed control for smart power grids and multi-vehicle automated driving.

The PhD positions are in the context of the research projects "Complex Network Games: The Scenario Approach" (OMEGA), funded by the Netherlands Organization for Scientific Research (NWO) as TOP grant in Mathematics, and "Game theoretic Control for Complex Systems of Systems" (COSMOS), funded by the European Research Council as ERC Starting Grant.

Conditions of employment: The appointments will be for 4 years. The PhD students will participate in the training and research activities of the TU Delft Graduate School and of the Dutch Institute of Systems and Control (DISC). As an employees of TU Delft, the PhD students will receive a competitive salary in accordance with the Collective Labour Agreement for Dutch Universities (CAO), from 2.2k EUR/month (gross, 1st year) to 2.8k EUR/month (gross, 4th year), possibly from 1.7k EUR/month (after taxes, 1st year) to 2.0k EUR/month (after taxes, 4th year), plus holiday allowance (8% of gross annual income) and end-of-year allowance (8.3% of gross annual income), travel budget, secondary benefits, discounts for health insurance and sport membership. Assistance with accommodation can be arranged.

Applications shall include the following documents:
• curriculum vitae;
• statement of motivation and research interests (up to one page);
• transcripts of all exams taken and obtained degrees (in English);
• names and contact information of up to three references (e.g. project/thesis supervisors);
• up to two research-oriented documents (e.g. thesis, conference/journal publication).

Applications or inquires shall be emailed to prof. Sergio Grammatico (

The starting date are flexible. The call for applications will remain open until the ideal candidates are found.

More information:,

6.4. PhD: Florida State University, USA
Contributed by: Lichun Li,

PhD: Florida State University, USA

Two open positions are available for PhD students in Department of Industrial and Manufacturing Engineering at Florida State University. The positions are available as early as January 2019. The topics and the desired background are as follows:
1. Secure Cyber-Human-Physical System
This project is to design satisfying sequential strategies based on real time data in adversarial environment. This topic evolves uncertainties dynamic systems, propagation, Bayesian estimation, and optimization.
In particular, backgrounds in the following topics are desired.
a. Game theory
b. Discrete time dynamic systems
c. Stochastic analysis
d. Matlab, Simulink

2. Large-Scale Networked Systems
This project is to design resilient and efficient large-scale networks which can allocate resources in a timely manner to meet network agents’ needs and to withstand extreme events.
Backgrounds in the following topics are desired.
a. Dynamic systems
b. Control theory
c. Stochastic analysis
d. Matlab, Simulink

A competitive research assistantship and full tuition waiver will be offered.

The application deadlines for Spring, summer, and fall 2019 application are Oct. 1, Jan. 1, and Mar. 1, respectively. Please check for further details.

To apply, please contact Prof. Lichun Li at The application should include
1. A cover letter (explicitly describing the candidate background and how they fit the open positions).
2. A detailed CV (including the list of publications).
3. Unofficial copies of their BS (and, if applicable, MS) transcripts.
4. A list of reference.
Please include all materials into a single PDF file.

6.5. PhD: University College Dublin, Ireland
Contributed by: Giovanni Russo,

One Ph.D. position is available at the Systems and Control Group within the School of Electric and Electronic Engineering of the University College Dublin. The Ph.D. student will work under the supervision of Dr. Giovanni Russo (email:

For this position, we are seeking candidates for our mobility work with the Science Foundation Ireland Research Center Lero ( The project seeks to develop closed loop strategies, leveraging Distributed Ledger Technology, for the control of autonomous and connected vehicles. The work will be aimed at developing novel tools from nonlinear dynamics, distributed optimization and AI to design collaborative services within vehicles. The research will have both a theoretical and applied, hands-on, aspect. The main reference use case that will be developed will be in the context of intelligent transportation systems.

The ideal candidate should have a background in:
1. nonlinear dynamics and complex systems;
2. intelligent transportation;
3. optimization;
4. statistics.

To apply:
send a cover letter stating your interest in the position and your CV to Pre-applications and informal inquiries can be made to Dr Giovanni Russo. The positions are available starting from September/October 2018.

6.6. PhD: CNRS, France
Contributed by: Perrin Julie,

Resilient Control in Scale-Free Networks
Supervisors: Carlos Canudas-de-Wit (DR-CNRS, main supervisor), Federica Garin (CR-INRIA),
Application type: PhD student. Gross salary: 1757 Euros/month (CNRS official salary for PhD students).
Start: anytime from Sept. 2018. Duration: 36 months. Employer: CNRS. Location: Grenoble, France
Required background: Master in control systems engineering or applied mathematics

Scale-FreeBack is an ERC Advanced Grant 2015 awarded to Carlos Canudas-de-Wit, Director of Research at the National Center for Scientific Research, (CNRS), during Sept. 2016-2021. The ERC is hosted by the CNRS. The project will be conducted within the NeCS group (which is a joint CNRS (GIPSA-lab)-INRIA team). Scale-FreeBack is a project with ambitious and innovative theoretical goals, which were adopted in view of the new opportunities presented by the latest large-scale sensing technologies. The overall aim is to develop holistic scale-free control methods of controlling complex network systems in the widest sense, and to set the foundations for a new control theory dealing with complex physical networks with an arbitrary size. Scale-FreeBack envisions devising a complete, coherent design approach ensuring the scalability of the whole chain (modelling, observation, and control). It is also expected to find specific breakthrough solutions to the problems involved in managing and monitoring large-scale road traffic networks. Field tests and other realistic simulations to validate the theory will be performed using the equipment available at the Grenoble Traffic Lab center (see GTL), and a microscopic traffic simulator replicating the full complexity of the Grenoble urban network. The proposed work will be undertaken in the context of this project.

Topic description.
Vulnerabilities in network systems involve faults and disruptions not only of some system components (sensors and actuators), but also of the communication interconnections. Such faults might be either random intrinsic malfunctions, or malicious external attacks. For example, in an intelligent road infrastructure, intrinsic faults might be the breakdown of some traffic lights, some closed roads for repair work, or failures of some sensors, while an example of external attack is a deception attack, where some roadside access point is shunted, so as to compromise data integrity (injection of fake signals replacing the sensor measurements) and possibly create a congestion compromising the system. Resilient closed-loop control must preserve correct functioning, or at least a graceful degradation, under a variety of possible risks, including malicious attacks exploiting some partial or total knowledge of the system dynamics.
Finding means of detecting and mitigating failures and attacks are the two main goals of this work. Resilient control of cyber-physical systems is a recent topic attracting a growing attention. Most current literature concerns linear network systems, in particular for electrical power-distribution networks. Scale-FreeBack proposes to investigate the resilient control issues arising in traffic networks, and more in general in complex network systems. This work will build upon previous results from the Scale-FreeBack project, where the complexity of controlling large network systems is tackled by controlling aggregated variables (e.g., average densities of some local zones of the traffic network), possibly with evolutionary (i.e., time-varying and state-dependent) aggregations. More specifically, it is proposed: 1) to develop diagnostic tools for detecting anomalies and revealing cyber-physical attacks, 2) to define security metrics for evolutionary networks, and 3) to revisit the optimal control design to attenuate the consequences of possible cyber-physical attacks affecting the most vulnerable nodes.

6.7. PhD: French-German Research Institute of Saint-Louis, France
Contributed by: Spilios Theodoulis,

The Guidance, Navigation & Control (GNC) group of the French-German Research Institute of Saint-Louis (ISL) is inviting applications (only EU citizenship applications will be considered) for three (3) fully funded PhD positions in the general area of flight dynamics and robust guidance and control of aerial vehicles. The successful candidate must hold (or soon complete) an MSc degree on automatic control with additional skills in flight mechanics being also appreciated. Excellent programming skills in MATLAB/Simulink are also required. The positions are to be filled starting from October 2018 and are in collaboration with industry and academia from France and Germany. The institute offers an attractive salary, a multidisciplinary working environment with great scientific interactions and is located near the metropolitan area of Basel.

To apply for this position, send a CV, transcripts and motivation letter to

6.8. PhD: Frankfurt Institute for Advanced Studies, Germany
Contributed by: Esteban Hernandez-Vargas,

PhD Position in Control Theoretical approaches to Infectious Diseases

The group of Systems Medicine at the Frankfurt Institute for Advanced Studies invites applications for a 3 years PhD position.

Major duties:

• Develop mathematical models describing diseases using deterministic models, stochastic models, and compartmental models.
• Analyze clinical and experimental data from collaborators using machine learning and bioinformatics approaches.
• Develop novel algorithms to treat diseases.
• Publish research findings in scientific journals and present them at major scientific meetings.

• A PhD degree in a quantitatively-oriented field, such as engineering, computer science or applied mathematics.
• Excellent command of English.
• Knowledge in analytical and quantitative methods.
• Experience in MATLAB, Python, or R, and LaTex.
• Knowledge of immunology is a plus.

Please send questions or your application with a motivation letter, outlining your interest in the position, along with your curriculum vitae which should include the names and contact details of three referees, to

Positions are open until filled. The planned start date is January 2019.

6.9. PhD: Chalmers University of Technology, Sweden
Contributed by: Yiannis Karayiannidis,

PhD student position in Learning-based control for robotic manipulation of deformable objects.

Information about the project:

The doctoral student will work in an exciting new project lying in the intersection of the areas of machine learning, robotics and automatic control. The doctoral student will specialize in AI and learning-based approaches for robot control, namely robotic manipulation of deformable objects. The main goal of this research project is to deal with the manipulation of deformable objects by combining i) data-driven modeling of robot-object interaction based on Deep Neural Networks and vision/force data, and ii) design of control policies based on Reinforcement Learning principles. You are expected to design algorithms and test them in real-world and simulated robotic setups.

The position is with the Mechatronics research group in the division of Systems and Control. The candidate will work under the supervision of senior researchers with background in robotics, automatic control and optimization with the Division of Systems and Control. There will also be close collaboration with the Dept. of Robotics Perception and Learning at Royal Institute of Technology (KTH) under the umbrella of WASP (

Major responsibilities:

The PhD student will carry out original research and complete coursework throughout the period of appointment. Results will be communicated in the form of scientific articles, conference presentations, etc. and the PhD thesis.

The working time of a Ph.D. student is mainly devoted to research. Undergraduate teaching duties, not exceeding 20% of the working time, may include supervision of MSc students.

Position summary:

Full-time temporary employment. The position is limited to a maximum of five years.


Applicants should have a Master's degree (or Diploma) in Automation and Mechatronics or Electrical Engineering or Computer Science or Mechanical Engineering or Applied Math corresponding to at least 240 higher education credits or an equivalent or similar background. Basic knowledge on machine learning, control systems and robotics as well as experience in programming are required. Furthermore, the position requires sound verbal and written communication skills in English. High grades in relevant undergraduate courses, C/C++ and hardware implementation experience are advantageous.

More information and application procedure:

6.10. PhD/PostDoc: Virginia Tech, USA
Contributed by: Mazen Farhood,

Postdoc and PhD Positions in Formal Verification of Cyber-Physical Systems
Aerospace and Ocean Engineering, Virginia Tech, Blacksburg VA 24061, U.S.A.

Application deadline: Interested researchers are encouraged to apply as soon as possible. Applications will be accepted until positions are filled.

Applications are invited for Postdoc and PhD positions to work on projects focusing on the compositional verification of cyber-physical systems such as autonomous vehicles.

For the Postdoc positions, we seek candidates with a strong background in formal methods applied to cyber-physical systems. Ideally, candidates will hold a PhD or have equivalent experience, though candidates who are close to submitting a PhD dissertation will be considered.

Please email your application to Dr. Mazen Farhood ( The application should include your CV, a brief statement of research experience and interests, and the names of three references.

The appointments for the Postdoc positions start as soon as possible and will be for one year with renewal contingent on performance. PhD student(s) are expected to join the graduate program at Virginia Tech either in the Spring 2019 or Fall 2019 semesters.

More Information:
Further details may be obtained from Dr. Mazen Farhood (

6.11. PostDoc: Shanghai Jiao Tong University, China
Contributed by: Weidong Zhang,

Postdoctoral position in Shanghai Jiao Tong University, China

The Engineer Research Center of Marine Automation, Shanghai Municipal Education Commission (in the Department of Automation, Shanghai Jiao Tong University, China) seeks to fill 3 postdoctoral positions as soon as possible thereafter. We are interested in candidates in broad areas of control engineering, marine engineering, unmanned autonomous systems, etc.

Applied conditions as follows:
-PhD degree
-Experience in theory or engineering research
-Good communication skills in English or Chinese
-Strong work ethic and passion for research

Main tasks:
-To conduct original research
-Assist in writing proposals for new research and write reports for existing research
-Supervision of student projects and thesis at both master and Ph.D levels

Salary and others:
- RMB 120-200k/year (approximately, 18-30kUSD)
- Apartment with very cheap rent
- It is a 2 year position and can be extended to 5 years

Required documents
-Detailed curriculum vitae and list of publications;
-Names and contact information of three references.

For further information, please contact Prof. Dr. Weidong Zhang, Email :, tel: +86-21-34204019. Address: Dongchuan Road 800, Shanghai Jiao Tong University, Shanghai 200240, China.

6.12. PostDoc: Delft University of Technology, The Netherlands
Contributed by: Sergio Grammatico,

2 PostDoc positions: Game theoretic Control, Complex Systems of Systems, Operator Theory
Delft Center for Systems and Control (DCSC), Delft University of Technology, The Netherlands.

I am looking for 2 talented, outstanding research fellows with a Ph.D. degree (or close to completion) in Systems and Control, or Applied Mathematics, Electrical or Mechanical Engineering, or related field, with theoretical background and interest in System Theory, Automatic Control, Optimization, Game Theory, and with good command of the English language (knowledge of Dutch is not required). Expertise in mixed-integer optimization is appreciated.

General project description: The researchers will conduct theoretical and algorithmic research on complex multi-agent systems characterized by the presence of: (i) mixed cooperative and noncooperative agents; (ii) uncertain and stochastic variables; (iii) mixed-integer decision variables. The research will develop and build upon tools from game theory, monotone and fixed-point operator theory, statistical learning, distributed optimization and control. The main application areas are distributed control for smart power grids and multi-vehicle automated driving.

The PostDoc positions are in the context of the research project "Game theoretic Control for Complex Systems of Systems" (COSMOS), funded by the European Research Council as ERC Starting Grant.

Conditions of employment: The appointments will be for 3 years. As an employees of TU Delft, the research fellows will receive a competitive salary in accordance with the Collective Labour Agreement for Dutch Universities (CAO), of about 3.2k EUR/month gross, possibly from 2.5k EUR/month after taxes, plus holiday allowance (8% of gross annual income) and end-of-year allowance (8.3% of gross annual income), travel budget, secondary benefits, discounts for health insurance and sport membership. Assistance with accommodation can be arranged.

Applications shall include the following documents:
• curriculum vitae;
• statement of motivation and research interests (up to one page);
• transcripts of all exams taken and obtained degrees (in English);
• names and contact information of up to three references (e.g. project/thesis supervisors);
• up to three research documents (e.g. thesis, conference/journal publication).

Applications or inquires shall be emailed to prof. Sergio Grammatico (

The starting date are flexible. The call for applications will remain open until the ideal candidates are found.

More information:,

6.13. PostDoc: NC A&T State University, USA
Contributed by: Ali Karimoddini,

Post-Doctoral Position in Machine Learning

The Autonomous Control and Information Technology (ACIT) Institute at NC A&T State University, invites applications for a full-time, post-doctoral research associate position in Artificial Intelligence and Machine Learning and its applications to control of autonomous vehicles. The project uses data driven methods to develop and implement control, as well as testing and evaluation techniques for autonomy algorithms of autonomous vehicles.

This is a non-tenure-track, year-to-year appointment, renewable annually for up to two years subjected to satisfactory performance, availability of resources, and the needs of the Institute. We particularly look for applicants that have a demonstrated track record in Fuzzy Logic Systems, Approximate Reasoning, Machine Learning, Data Science and their applications to systems and control problems. Demonstrated proficient programming skills are required (Preferably Python), and practical experiences with embedded real-time systems are desired.

The candidate will also be working with both graduate and undergraduate students in a mentoring role, and will be involved in developing research proposals, conducting workshops, and seminars. The candidate will enjoy a dynamic and collaborative working environment of our cutting-edge autonomous vehicle research team. U.S. citizenship is preferred and minority candidates are strongly encouraged to apply. If interested, please apply electronically by sending a detailed curriculum vitae, copies of your top three publications, the summary of your PhD dissertation, names and contact information of three references, and other information that might be relevant to your application to Dr. Homaifar ( and Dr. Karimoddini (

6.14. PostDoc: Georgia Tech, USA
Contributed by: Panagiotis Tsiotras,

Several postdoctoral positions are available with the Dynamics and Control Systems Laboratory ( at the School of Aerospace Engineering and the Institute for Robotics and Intelligent Machines ( at Georgia Tech. Candidates with extensive expertise and demonstrated accomplishments in one or more of the following areas are encouraged to apply:

1) Stochastic control, stochastic games, sequential decision-making, MDP/POMPDs.
2) Information-theoretic methods in autonomy & robotics.
3) Visual perception, SLAM, SfM algorithms for autonomous robots.

The successful candidate should have a PhD degree in Engineering, Mathematics or Computer Science, with a demonstrated record of publications in these areas.

The appointment will be initially for 12 months with a possible extension for up to 24-36 months.

Interested candidates should submit an extended resume, along with a list of publications and the names of three (3) references to: Prof. Panagiotis Tsiotras, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0150 USA, Email: Applications received before September 15, 2018 will receive full consideration.

6.15. PostDoc: KU Leuven, Belgium
Contributed by: Jan Swevers,

PostDoc: KU Leuven, Belgium

Postdoc position on implementation and application of linear parameter varying system identification methods.

The MECO research team of KU Leuven (Belgium), Department of Mechanical Engineering is searching for a motivated and skilled postdoctoral researcher with a strong background in the development and application of linear and linear parameter varying systems identification methods, numerical optimization, and programming (Matlab, C/C++).

In this research project you will interface existing LTI and LPV system identification methods (toolboxes) with the Linear Control Toolbox that is currently being developed by the MECO research team (, and apply these techniques on various challenging mechatronic applications. You will cooperate with two PhD researcher that focus on the development and application of LPV H_2/H_inf feedback control techniques.

The research will take place in the MECO (Motion Estimation Control and Optimization) research team of the Department Mechanical Engineering of KU Leuven. The MECO research team focusses on modeling, estimation, identification, analysis and optimal control of motion and motion systems such as mechatronic systems or machine tools. It combines theoretical contributions (development of design methodologies) with experimental knowhow (implementation and experimental validation on lab-scale as well as industrial setups). The theoretical research benefits from the group’s expertise on numerical optimization, especially convex optimization. MECO is member of Flanders Make - the strategic research center for the manufacturing industry.

A fully funded postdoctoral position in an international context for one year at KU Leuven (renewable); a start date in course of 2018/2019 is to be agreed upon. KU Leuven is among the top European universities and a hub for interdisciplinary research in the fields of systems, control and optimization.

• an academic CV with photo,
• a pdf of your diplomas and transcript of course work and grades,
• a list and pdf files of your publications,
• a statement of research interests and career goals (max. 2 pages),
• contact details of at least two referees,

Deadline: October 31, 2018. The position might be filled in earlier if an excellent candidate is found.

6.16. PostDoc: University of Melbourne, Australia
Contributed by: Peter M. Dower,

Postdoctoral Research Fellow Position at the University of Melbourne, Australia.

A postdoctoral research fellow with a solid background in applied mathematics (or equivalent) is sought to conduct mathematical systems theory research in the area of optimal control for continuous time nonlinear dynamical systems, with an emphasis on the development of new theory and computationally efficient methods arising from analysis and application of Pontryagin’s minimum principle, dynamic programming and Hamilton-Jacobi-Bellman partial differential equations. An initial appointment for one year is available.

For further information, visit

Contributor: Peter M. Dower, University of Melbourne.
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6.17. PostDoc/Research Scientist: Karlsruhe Institue of Technolgoy, Germany
Contributed by: Timm Faulwasser,

Postdoc / research scientsit position on optimization-based control of energy systems

The Karlsruhe Institue of Technolgoy (KIT), Institute for Automation and Control, Optimization and Control Group is searching for a motivated and skilled postdoctoral researcher with a strong background in the development of optimization methods for electrical and multi-carrier energy systems and/or background in distributed and decentralized algorithms that are able to consider stochastic uncertainties.

You will join a project on distributed control of energy systems which is conducted in close collaboration with a German Transmission System Operstor (TSO). You hold a master degree in Applied Mathematics, Cybernetics, Electrical Engineering or a similar discipline. Ideally, you have already finished, respectively you are about to finish, your doctorate/PhD and you have profound knowledge of numerical optimization, systems theory and control engineering; a background on distributed control algorithms and computations as well as knowledge of optimization under uncertainty would be a plus. Basic on knowledge on modelling of energy systems would also be helpful.
Language proficiency in English as well as good communication skills and team skills are required.

A start date in 2018 would be preferred.

Required documents
-Detailed curriculum vitae and list of publications;
-Names and contact information of three references.

For questions, please contact:
Timm Faulwasser, (
Institute for Automation and Applied Informatics, KIT. Tel.: +49 721 608 26494

6.18. Research Group Leader: University of Stuttgart, Germany
Contributed by: Frank Allgower,

Independent Research Group Leader in the Cyber Valley Initiative, University of Stuttgart, Germany

At the University of Stuttgart a new Cyber Valley Research Group will be established as part of the Cyber Valley initiative ( The group will be funded by the Christian Bürkert Foundation. Cyber Valley is a new center for AI research in the Stuttgart/Tübingen region of Germany, bringing together partners from science and industry to create a world-leading hub for research in intelligent systems and to establish an ecosystem for startups in the field of artificial intelligence.

We are seeking applications for the position of Group Leader for this new group. The position is a senior postdoc level position, initially for four years and is non-tenure track. The person holding the position will be expected to work independently and will have the right to supervise and graduate own PhD students and to teach at the University of Stuttgart. The funding provided to the group includes the group leader position (TV-L E14, senior postdoc level), two additional PhD positions as well as startup and running budgets for up to four years. The group will be embedded into the Institute for Systems Theory and Automatic Control at the University of Stuttgart ( /index.en.html) and will benefit from its infrastructure, support structures and research environment. The working language at the institute is English.

We are looking for a young, highly motivated and emerging researcher, who will take the lead in building up the new group and a competitive research program. The ideal candidate should have an excellent international early-career track record. The research group is expected to engage actively with the existing research environment, including the Cyber Valley partners and Arena 2036 (

Applicants from all fields of engineering and science working at the interface between modern manufacturing engineering on one side and control, automation, artificial intelligence or Big Data on the other side are encouraged to apply. Both, theoretical and more application oriented research directions are of interest.

Applicants should submit a description of past and planned research activities (up to three pages), a CV, the names and addresses of at least three potential references as well as pdf files of up to 5 key publications. Applications should be submitted as a single pdf-file to The closing date for applications is October 7, 2018.

Please contact Frank ALLGOWER ( for further information.

6.19. Faculty: Stanford University, USA
Contributed by: Edwin,

Faculty Position
Department of Electrical Engineering
Stanford University

The Department of Electrical Engineering at Stanford University ( invites applications for a tenure-track faculty appointment at the junior level (Assistant or untenured Associate Professor) in the broadly defined field of electrical and computer engineering. The department is especially interested in candidates in robotics, autonomous systems, embedded systems, signal processing, control, optimization, and machine learning. Priority, however, will be given to the overall originality and promise of the candidate’s work over any specific area of specialization.

Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to teach courses at the graduate and undergraduate levels and to build and lead a team of graduate students in Ph.D. research.

Applications should include a brief research and teaching plan, a detailed resume including a publications list, and the names and email addresses of at least five references.

Candidates should apply online at Applications will be accepted through November 15, 2018.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions.

6.20. Faculty: University of Houston, USA
Contributed by: Karolos Grigoriadis,

The Department of Mechanical Engineering at the University of Houston (UH) invites applications for a tenure-track faculty position in the general area of controls and dynamic systems beginning Fall 2019. The position is at the Assistant Professor level, but exceptional candidates with outstanding credentials and appropriate academic experience may be considered for the rank of Associate Professor. Successful candidates must hold a PhD in a relevant area of engineering, and should have a demonstrated record of high quality scholarship, a strong potential to attract external funding and commitment to teaching. Candidates are expected to establish a nationally recognized externally funded research program in the field of controls and dynamic systems. Emerging targeted areas of application in energy and the environment, health and biomedicine, manufacturing, cyber-physical systems, social and behavioral systems, and networked systems will be given special consideration. Candidates must have a demonstrated ability to conduct independent research and show promise for excellence in teaching, mentoring and entrepreneurship

UH is a designated Carnegie Tier One Research university and one of Texas’ premier public research and teaching institutions with over 40,000 students. The UH campus is a park-like campus proximal to downtown Houston, the fourth-largest city in the nation. Houston, in addition to being the energy capital of the world, is home to the Texas Medical Center, the largest medical center in the world, and to NASA’s Johnson Space Center. Houston supports a full spectrum of cultural organizations, as well as sports, and year-around outdoor activities.

UH is a recipient of the National Science Foundation ADVANCE Institutional Transformation Award to increase the participation of women in academic science and engineering careers. The University of Houston is responsive to the needs of dual career couples.

Please apply via under Faculty Positions (Keyword: Controls).

6.21. Robotics & Backend Developer: TU Munich, Germany
Contributed by: Yannick Morel,

Robotics & backend developer position at TU Munich, Germany

The Human Brain Project (HBP) is an ambitious large-scale research initiative funded by the European Commission with a high worldwide visibility. About 100 research institutes from different disciplines all over Europe cooperate intensively to achieve a multi-level, integrated understanding of brain structure and function through the development and use of Information and Communication Technologies. Inside HBP, the Neurorobotics Platform (NRP) is a web-based platform developed under the leadership of Prof. Alois Knoll (Technical University of Munich - TUM). It grants neuroscientists easy access to state-of-the-art simulators: spiking neural networks (NEST), robotics (Gazebo) and physics (ODE, bullet). These simulators are interfaced together and synchronized inside a closed-loop simulation, which provides neuroscientists with the ability to perform in silico experiments based on embodiment of brain models, and to close the action-perception-cognition loop inside virtual environments. To strengthen our Neurorobotics team in TUM we are looking for an

Experienced Backend Developer for Neurorobotics

Profile sought: Ph.D. or similar experience in computer science, robotics, mathematics, engineering or a related field; alternatively, a strong track record in software development and robotics.

Major duties and responsibilities:
. Carrying out R&D activities on the topic of neural control for robotics that leverage the NRP.
. Carrying out project-related work including software development, progress monitoring and reporting, and community engagement.
. Dissemination of project results in leading journals and conference in both the robotics and neuroscience communities.

Essential skills and experience required:
. Solid knowledge of robotics, mathematics, software engineering, and model-based development
. Proficiency in C, C++, and Python is a must; a good knowledge of, and practical experience with ROS, MATLAB and Simulink will be considered a strong asset. Experience with Docker is a plus.
. Experience in developing robotics software, e.g., kinematics/dynamics, actuator/sensor drivers, Guidance-Navigation-Control (GNC) algorithmics, ontological world models, distributed systems. Experience with real-time systems will be a real plus.
. Experience in AI & artificial neural networks, control theory, and/or dynamical systems theory will be considered a significant asset.
. Fluency in spoken and written English (German desirable but not critical).
. Willingness to travel.
. Ability to work independently with minimal supervision while delivering quality code on time.
. High motivation and willingness to work in an international and interdisciplinary team (openness to working with neuroscientists is a key element).

What we offer:
. A full-time position with interesting and challenging tasks in an interdisciplinary team.
. Worldwide networking opportunities with robotics and neuroscience experts.
. The chance to grow in responsibility through the development of new project opportunities.
. Remuneration in line with the current German public service.

TUM and HBP strive to increase the proportion of their female employees, and therefore explicitly invite women to apply.

Applicants should submit a cover letter and a detailed CV in PDF format only, with file name "<surname>_HBP_cover" and "<surname>_HBP_CV" electronically to

Start date: 1st of October 2018.
Deadline for application: until position is filled.
Duration of contract: until the 30th of March 2020, with possibility of extension.

6.22. Development Engineer: ENERCON, Germany
Contributed by: Sönke Engelken,

Development Engineer – Wind Turbine Controls

With more than 27,900 turbines installed worldwide ENERCON has been one of the technology leaders in the wind power sector for more than 30 years. The product portfolio comprises wind turbines with outputs from 800 to 4,200 kW. Our products are known for their reliable technology, low maintenance requirements and a long service life, thereby guaranteeing a high level of profitability for our customers.

We are proud of our greatest asset of more than 18000 talented, highly motivated professionals. We are currently expanding the team of Wind Turbine Controls. As a Development Engineer - Wind Turbine Controls, you will
• Develop new control algorithms to reduce loads and improve efficiency of wind turbines
• Model and analyze wind turbine dynamics
• Validate control algorithms, evaluate and analyze measurement data
• Work in multidisciplinary teams to develop new strategies for turbine control
• Develop simulations in Matlab/Simulink
• Work on research projects with partner companies/institutes

We are looking for a candidate with the following profile
• Completed studies (PhD, Masters/Diplom) in the area of Mechatronics, Electrical or Informatics engineering with focus on controls and systems engineering or related field
• Several years of experience in the field of control algorithm development and implementation
• Good knowledge of predictive and robust control concepts and their application in industry
• Good knowledge of wind turbine technology
• Experience with tools like Matlab/Simulink
• Analytical mindset, good communications skills, and enjoy both team- and independent work
• Ability and willingness to travel
• Good German and English language proficiency

The job location is Bremen, Germany, however other locations may be possible.

At ENERCON we are committed to take on challenges and promise you an environment to nurture your technical and leadership abilities by offering you different career development paths. Interested?

We are looking forward to receive your application (cover letter, CV, transcripts) via our web portal (Reference code DE109332)

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