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Workshops

The 47th CDC is offering nine one day pre-conference workshops on Monday December 8, 2008. Pre-registration for these workshops is strongly encouraged. To pre-register, please visit the conference registration page at https://www.paperplaza.net/registration

The workshops will be offered based on viable attendance. The 47th CDC reserves the right to cancel non-viable workshops. In the event that a workshop is canceled the workshop fee will be refunded in full.

STUDENTS: . The Control Systems Society is repeating an initiative to allow students free attendance at one of the workshops. If you are a Student Member of both the IEEE and the Control Systems Society in the year 2008 and  you are interested in attending one of the workshops offered at the CDC 2008, you can take this possibility for free. Go to the Student Support page for details.


List of Workshops Offered at the 47th CDC

Stochastic Hybrid Systems: Theory and Applications
Alessandro Abate (Stanford University, USA), John Lygeros (ETH Zurich, Switzerland), and Shankar Sastry (University of California, Berkeley, USA)

Distributed Control of Robotic Networks
Francesco Bullo (University of California, Santa Barbara, USA), Jorge Cortes (University of California, San Diego, USA), and Sonia Martinez (University of California, San Diego, USA)

Adaptive Sensing via Approximate Stochastic Dynamic Programming THIS WORKSHOP WAS WITHDRAWN. Individuals who registered can either receive a full refund or transfer their registration to another workshop.

Foundations for Reconfigurable and Autonomous Cyber-Physical Systems THIS WORKSHOP WAS WITHDRAWN. Individuals who registered can either receive a full refund or transfer their registration to another workshop.

Homogeneous Higher-Order Sliding-Mode Control
Leonid Fridman (National Autonomous University of Mexico, Mexico)

Robotics in Challenging and Dangerous Environments THIS WORKSHOP WAS WITHDRAWN. Individuals who registered can either receive a full refund or transfer their registration to another workshop.

The Continuing Legacy of Roger W. Brockett
John Baillieul (Boston University, USA) and P.S. Krishnaprasad (University of Maryland, College Park, USA)

Modeling, Estimation and Control in Neuroscience
Sridevi Sarma (MIT, USA)

Identification of Quantized Systems with Applications THIS WORKSHOP WAS WITHDRAWN. Individuals who registered can either receive a full refund or transfer their registration to another workshop.

Nonlinear Power Flow Control Design: Utilizing Exergy, Entropy, Static and Dynamic Stability, and Lyapunov Analysis
R.D. Robinett, III and D.G. Wilson (Energy, Resources & Systems Analysis Center, Sandia National Laboratories, USA)

Workshops Descriptions

Stochastic Hybrid Systems: Theory and Applications

Organizers:
Alessandro Abate (Stanford University, USA), John Lygeros (ETH Zurich, Switzerland), and Shankar Sastry (University of California, Berkeley, USA)

Additional Participants:
Henk Blom (NLR, The Netherlands), Manuela Bujorianu (Twente, The Netherlands), Joao Pedro Hespanha (UC Santa Barbara, USA), Jianghai Hu (Purdue, USA), Joost-Pieter Katoen, RWTH Aachen, Germany)

Abstract: Engineering systems like communication networks or automotive and air traffic control systems, financial and industrial processes like market and manufacturing models, and natural systems like biological and ecological environments exhibit compound behaviors arising from the compositions and interactions between their heterogeneous components. Hybrid Systems are mathematical models that are by definition suitable to describe such complex systems. The effect of the uncertainty on the discrete and continuous dynamics---both endogenously and exogenously to the system---is virtually unquestionable for biological systems and often inevitable for engineering systems, and naturally leads to the employment of stochastic hybrid models. Stochastic Hybrid Systems are then probabilistic models suitable at describing the dynamics of variables presenting interleaved and interacting continuous and discrete components.
The goal of the workshop is to present the state-of-the-art on the research in Stochastic Hybrid Systems. By bringing together a heterogeneous panel of experts that will present their research results on Stochastic Hybrid Systems, the workshop targets a wide audience: from the student, interested in learning about this model formalism; to the researcher, involved in the forefront research on these models; to the practitioner, engaged in the application of these models in various studies (for instance, in Engineering and Biology).

Workshop URL: http://hybrid.stanford.edu/~aabate/SHSWSHOP08/index.htm

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Distributed Control of Robotic Networks

Organizers:
Francesco Bullo (University of California, Santa Barbara, USA), Jorge Cortes (University of California, San Diego, USA), and Sonia Martinez (University of California, San Diego, USA)

Abstract: The emerging discipline of distributed control of robotic networks sits at the intersection of different areas such as distributed algorithms, parallel processing, control, and estimation. The main objective of the workshop is to provide an introduction to the modeling, analysis, and design of distributed coordination algorithms for robotic networks.
The workshop lectures will provide a self-contained exposition of notions and tools from various disciplines that are relevant in cooperative control: these include graph-theoretic notions (connectivity, adjacency and Laplacian matrices), distributed algorithms from computer science (leader election, basic tree computations) and from parallel processing (averaging algorithms, convergence rates), and geometric models and optimization (Voronoi partitions, proximity graphs). The workshop will also introduce a model for robotic networks that helps formalize and analyze coordination algorithms. Drawing on classical notions from distributed algorithms, we will provide complexity measures that characterize the performance and implementation costs of coordination algorithms. Finally, the workshop will present various algorithms for coordination tasks such as connectivity maintenance, rendezvous, and deployment, putting special emphasis on the analysis of their correctness and complexity.
The workshop lectures are based on the book with the same title written by the instructors, freely available at www.coordinationbook.info

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Adaptive Sensing via Approximate Stochastic Dynamic Programming

WITHDRAWN

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Foundations for Reconfigurable and Autonomous Cyber-Physical Systems

WITHDRAWN

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Homogeneous Higher-Order Sliding-Mode Control

Organizers:
Leonid Fridman (National Autonomous University of Mexico, Mexico)

Additional Participants:
Igor Boiko (Honeywell and University of Calgary, Canada), Arie Levant (Tel-Aviv University, Israel), Alessandro Pisano (University of Cagliari, Italy), Yuri Shtessel (The University of Alabama in Huntsville, USA)

Abstract: The goal of the workshop is to introduce the attendees to the Higher Order Sliding Mode Control (HOSMC) algorithms for robust control system design. Numerous real-life applications will illustrate the efficiency of HOSMC. The desired outcome of the workshop, i.e. delivering tools for the HOSMC analysis and design, will be achieved via covering the following topics

  1. The theoretical foundation of HOSMC: homogeneity, finite time convergence for arbitrary order HOSMC, the design principles of HOSMC and HOSM-based exact differentiators will be presented.
  2. Second Order Sliding Mode Controllers (SOSMC) will be analyzed using frequency domain techniques.
  3. The HOSM state observation and input reconstruction algorithms for linear and nonlinear systems will be introduced. The concept of strong observability will be discussed. The on-line backlash identification and vehicles parameters estimation using HOSM observers will illustrate the efficacy of the HOSM techniques.
  4. The case studies of aerospace control systems, including guidance and control of missile-interceptors against manoeuvring targets, flight control of two F/A-18 aircraft formation, and satellite formation control, using HOSM techniques observers will be presented.
  5. The case studies of industrial control systems including hydrojet-actuated marine vessels, electrical drives, active pantographs for high-speed trains, multiprocessor computing systems, electrohydraulic valves, and combined-cycle power plants using HOSM techniques will be covered.

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Robotics in Challenging and Dangerous Environments

WITHDRAWN

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The Continuing Legacy of Roger W. Brockett (Workshop Photos)

Organizers:
John Baillieul (Boston University, USA) and P.S. Krishnaprasad (University of Maryland, College Park, USA)

Abstract: Roger Brockett, one of the founders of geometric nonlinear control theory and many other areas of the field, will turn 70 in 2008. To celebrate this occasion, a one-day workshop is planned at the 2008 CDC in Cancun. The workshop will present a set of 8 lectures highlighting some of the areas to which Brockett has made lasting contributions. Topics to be covered include: The stability of nonlinear feedback systems; Nonlinear geometric control theory; Stochastic systems and nonlinear filtering; The applications of Lie Theory to nonlinear systems and control; Robotics; Formal languages for motion description; Computer vision; Geodesic and gradient flows on manifolds; Information based control and specification complexity; Minimum attention control; and Quantum control.
List of speakers and titles of talks:

  1. John Baillieul, Boston University (johnb@bu.edu) Quantum Communication through Action
  2. John Baras, University of Maryland (baras@umd.edu) Path Problems in Dynamic Networks: Interplay of Algebraic and Analytic Methods
  3. Anthony Bloch, University of Michigan (abloch@umich.edu) Nonholonomic Dynamics and Control
  4. Navin Khaneja, Harvard University (navin@hrl.harvard.edu) On Some Model Problems of Quantum Control
  5. Daniel Liberzon, University of Illinois (liberzon@uiuc.edu) Towards a Unified Framework of Nonlinear Control with Limited Information
  6. A. Stephen Morse, Yale University (morse@sysc.eng.yale.edu) Analyzing an Interesting Hybrid System
  7. Jan Willems, Katholieke Universiteit Leuven (Jan.Willems@esat.kuleuven.be) Lyapunov Functions for Systems Described by High Order Differential Equations
  8. Wing-Shing Wong, Chinese University of Hong Kong (wswong@ie.cuhk.edu.hk) Control Communication Complexity
The workshop will also include additional short contributions by several of Roger Brockett's colleagues and friends in the field.

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Modeling, Estimation and Control in Neuroscience

Organizers:
Sridevi Sarma (MIT, USA)

Additional Participants:
Riccardo Barbieri (Harvard, USA), Wilson Truccolo (Brown University, USA), Todd Coleman (University of Illinois at Urbana-Champaign, USA), Ming Cheng (Brown University, USA), Uri Eden (Boston University, USA), Fadi Karameh (American University, Beirut, Lebanon), Steve Massaquoi (MIT, USA), Jeffrey M. Moehlis (University of California Santa Barbara, USA), David Terman (Ohio State University, USA), Kazutaka Takahashi (University of Chicago, USA), Bijoy Ghosh (Texas Tech University, USA), Zhe Chen (Harvard/MIT, USA), Partha Mitra (Cold Spring Harbor, USA), Nitish Thakor (Johns Hopkins University, USA), David Nguyen (MIT, USA)

Abstract: Recent technological and experimental advances, such as bio-imaging and the capability to record signals from neural systems have led to an unprecedented increase in the types and volume of data collected in neuroscience experiments. This data, though extremely rich and valuable, has brought neuroscientists to a road block. This workshop will discuss methods of signal processing, modeling and estimation from both data and biophysical laws to understand how single neurons and networks of neurons encode information. System-level modeling of how neural activity gets processed amongst various parts of the brain to ultimately control motor behavior, and to what extent is this predictable based on neural activity, pathways, connections, and muscle dynamics will also be covered. Decoding environmental stimuli and behavior from neural recordings will be addressed along with its application to brain-machine interfaces and control of prosthetics. Finally, control of neural activity using deep brain stimulation to treat various neurological diseases such as Parkinson disease and epilepsy will be discussed.

Click here for a detailed schedule of the worksop

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Identification of Quantized Systems with Applications

WITHDRAWN

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Nonlinear Power Flow Control Design: Utilizing Exergy, Entropy, Static and Dynamic Stability, and Lyapunov Analysis

Organizers:
R.D. Robinett, III and D.G. Wilson (Energy, Resources & Systems Analysis Center, Sandia National Laboratories, USA)

Abstract: The authors will present an innovative control system design process based on the latest research and development at Sandia National Laboratories in the area of renewable energy electric grid integration. The main result of this research is a unique set of criteria to design controllers for nonlinear systems with respect to both performance and stability, instead of following the typical linear controller zero-sum design trade-off process between stability and performance. This innovative control design process was created by combining concepts from thermodynamic exergy and entropy; Hamiltonian systems; Lyapunov's direct method and Lyapunov optimal analysis; static and dynamic stability analysis, electric AC power concepts including limit cycles; and power flow analysis. The thermodynamic concepts combined with Hamiltonian systems provide the theoretical foundations necessary to view the control design as a power flow control problem of balancing the power flowing into the system versus the power being dissipated within the system subject to the power being stored in the system (i.e., kinetic/potential energies). Emphasis is placed on the necessary design steps for which the concepts are introduced and explained with examples and case studies. Several of the case studies will feature current renewable energy problems such as the future electric power grid control, wind turbine load alleviation control, and novel micro-grid control design that employs wind and solar as renewable energy sources.

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