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Technical Program
Bode Lecture, Plenaries and Semi-Plenaries
Tutorial Sessions
Special Sessions


Aside from the technical sessions, the 2008 CDC will feature two plenary lectures, four semi-plenary lectures and the Bode Lecture. In addition, five tutorial sessions have been organized upon invitation and will be presented throughout the three conference days. The Bode Lecture will be presented by Prof. Christopher I. Byrnes of the Washington University. The Plenary speakers will be Prof. Andrew R. Teel of the University of California, Santa Barbara and Professor Frank Kelly of the University of Cambridge. The semi-plenary speakers will be Prof. Petros A. Ioannou of the University of Southern California, Prof. Anders Rantzer of Lund University, Prof. B. Ross Barmish of the University of Wisconsin and Prof. Frank L. Lewis of the University of Texas at Arlington.

CDC Bode Lecture, Plenaries and Semi-Plenaries:
Bode Lecture: The Bode Lecture will be on Thursday, Dec. 11 in the Grand Cral Ballroom.
  • Christopher I. Byrnes. Thursday Dec. 11, 2008, 2:15 PM. Grand Coral Ballroom
    Bode Lecture Title: Analysis and Design of Steady-state Behavior for Nonlinear Feedback Systems

    Bode Lecture Abstract. A long term goal in the theory of systems and control is to develop a systematic methodology for the design of feedback control schemes capable of shaping the response of complex dynamical systems, in both an equilibrium and a nonequilibrium setting. In this talk, we will focus primarily on periodic steady-state behavior, a phenomenon that is pervasive in nature and in man-made systems. We will begin with an analysis of the asymptotically stable oscillation in the classical voltage controlled oscillator (VCO), followed by an analysis of Brockett's recent design of a feedback law which creates an asymptotically stable oscillation in a three dimensional, nonholonomic model of an AC controlled rotor with a constant steady-state angular velocity. We will show how to design feedback laws for stabilizable n-dimensional systems so that the existence, periods and stability of periodic responses can be analyzed and shaped when the nonlinear feedback system is driven with an arbitrary periodic input.

    This design is one application of a general theory developed, jointly with R. Brockett, for the existence of oscillations in a nonlinear dynamical system. The sufficient conditions use a multi-valued analogue of Liapunov functions, in much the same way as the angular variable in polar coordinates is multi-valued. For the VCO the angular variable is the output of an integral controller, while for the AC motor it measures the rotation of the magnetic field. In the general case, the sufficient conditions can be checked point-wise, just as in Liapunov theory, and therefore do not require the knowledge of the trajectories of the system or a cross-section for the dynamics. Moreover, these results can be readily used in the theory of output regulation to shape the nonequilibrium steady-state response of dissipative nonlinear feedback systems. Finally, using the recent solution of the Poincaré Conjecture and more, we show these sufficient conditions are necessary for the existence of an asymptotically stable oscillation - a satisfying result in the spirit of the converse theorems of Liapunov theory.

    Biography. Christopher I. Byrnes is the Edward H. and Florence G. Skinner Professor of Systems Science and Mathematics at the Washington University in St. Louis. Chris Byrnes has made fundamental contributions to systems and control. His early work applied real and complex algebraic geometry to the solution of several long outstanding problems in the modeling and control of multivariable linear systems. Together with John Baillieul, he also applied these techniques to a study of the number and nature of solutions to the load-flow equations for electrical power systems.

    In the mid 1980's, Alberto Isidori and Chris launched a broad research program to develop a systematic feedback design methodology for shaping the behavior of nonlinear control systems. This combined methods drawn from nonlinear dynamics, topology and geometr, aimed at the development of nonlinear enhancements of several of the main ideas and constructs from the frequency domain theory of classical control systems. Among other contributions, this led to the development of zero dynamics, minimum phase systems, normal forms and the steady-state response for nonlinear control systems and their use in solving a broad class of problems, including feedback stabilization and output regulation. In 1991, they received the IEEE George Axelby Best Paper Award for their work on output regulation. In 1993, he and Alberto received the IFAC Automatica Best Paper Prize for a paper in which they solved a longstanding open problem showing that smooth feedback stabilization of the rigid body model of a satellite with just two actuators was impossible, nonetheless designing a feedback law stabilizing the spacecraft about a revolute motion about an axis. Most recently, they have developed a rigorous nonequilibrium theory for the steady-state response of a nonlinear control system.

    In the 1990's, Tryphon Georgiou, Anders Lindquist and Chris began a study of the generalized moment problem using methods from topology and nonlinear analysis, ultimately establishing a convex optimization design methodology for a class of moment problems arising in engineering applications such as robust control and spectral estimation. They received the IEEE George Axelby Best Paper Award in 2003 for work applying these methods to Nevanlinna-Pick interpolation. His current interests include the dynamics and topology of nonequilibrium problems in control, notably his joint work with Roger Brockett on the existence and nature of periodic orbits for nonlinear systems.

    Prior to joining Washington University in 1989, he was on the faculty at the University of Utah, Harvard University and Arizona State University and has held visiting positions in Austria, France, Germany, Italy, Japan, the Netherlands, Sweden, the US and the Academy of Sciences of the former USSR. The author of more than 250 technical papers and books, he received an Honorary Doctorate of Technology from the Royal Institute of Technology (KTH) in Stockholm in 1998 and in 2002 was named a Foreign Member of the Royal Swedish Academy of Engineering Sciences. He is a Fellow of the IEEE and in 2005 was awarded the Reid Prize from SIAM for his contributions to Control Theory and Differential Equations. He will hold the Giovanni Prodi Chair in Nonlinear Analysis at the University of Wuerzburg in the summer of 2009 and spend the 2009-2010 academic year as Gast Professor at KTH, supported by the Swedish Strategic Research Foundation.
    Plenaries: We will have a plenary on Tuesday, Dec. 9 and one on Wednesday, Dec. 10, in the Grand Coral Ballroom.
  • Andrew R. Teel. Tuesday Dec. 9, 2008, 12:15 PM. Grand Coral Ballroom
    Plenary Title: Hybrid Dynamical Systems and Robust Feedback Control

    Plenary Abstract. A bouncing ball, a network of impulsive biological oscillators, a sampled-data and networked control system, and a supervisory-based feedback control loop are examples of hybrid dynamical systems. These systems contain variables that, in some regions of the state space, change continuously and, in other regions, change instantaneously. Hybrid systems have been studied extensively over the last two decades, with important contributions generated by computer scientists, mathematicians, and control engineers. Interest from the control community is due, primarily, to the recognition that advances in modeling and analysis of hybrid systems may spawn a variety of novel feedback control ideas.

    This lecture emphasizes a dynamical systems approach to hybrid systems. It describes a modeling framework and a set of structural properties under which the dynamic behavior of a hybrid system is robust. Robustness means that small perturbations to the system lead to correspondingly small changes in the qualitative behavior of the system. This feature is a requirement for feedback control systems of all types, including hybrid control systems. Moreover, the properties that yield robustness also confer to hybrid systems many classical stability analysis tools from continuous-time and discrete-time nonlinear systems. These and other hybrid-specific tools serve as the genesis for several hybrid feedback control algorithms. A selection of analysis tools and control algorithms are presented to illustrate recent advances in the field of hybrid systems.

    Biography. Andrew R. Teel received his A.B. degree in Engineering Sciences from Dartmouth College in Hanover, New Hampshire, in 1987, and his M.S. and Ph.D. degrees in Electrical Engineering from the University of California, Berkeley, in 1989 and 1992, respectively. After receiving his Ph.D., he was a postdoctoral fellow at the Ecole des Mines de Paris in Fontainebleau, France. In 1992 he joined the faculty of the Electrical Engineering Department at the University of Minnesota, where he was an assistant professor until 1997. Subsequently, he joined the faculty of the Electrical and Computer Engineering Department at the University of California, Santa Barbara, where he is currently a professor. His research interests are in nonlinear and hybrid dynamical systems, with a focus on stability analysis and control design. He has received NSF Research Initiation and CAREER Awards, the 1998 IEEE Leon K. Kirchmayer Prize Paper Award, the 1998 George S. Axelby Outstanding Paper Award, and was the recipient of the first SIAM Control and Systems Theory Prize in 1998. He was also the recipient of the 1999 Donald P. Eckman Award and the 2001 O. Hugo Schuck Best Paper Award, both given by the American Automatic Control Council. He has delivered plenary lectures at the SIAM Conference on Control and its Applications, the American Control Conference, the IFAC Symposium on Nonlinear Control Systems (NOLCOS), and the Chinese Control Conference. He is a Fellow of the IEEE.
  • Frank Kelly. Wednesday Dec. 10, 2008, 12:15 PM. Grand Coral Ballroom
    Plenary Title: Network Control: Modeling the Internet

    Plenary Abstract. The Internet has attracted the attention of many theoreticians, eager to understand the remarkable success of this diverse and complex artifact. An important aspect of its success has been that simple decentralized algorithms, working with limited information, can produce coherent and purposeful behavior at the macroscopic level. The challenge is to understand how.

    One of the more fruitful approaches has been based on a framework that allows a congestion control algorithm such as Jacobson's TCP to be interpreted as a distributed mechanism solving a global optimization problem. The framework is based on fluid models of packet flows, and the form of the optimization problem makes explicit the equilibrium resource allocation policy of the algorithm, which can often be restated in terms of a fairness criterion, such as proportional fairness or max-min fairness. The dynamics of the fluid models allow the machinery of control theory to be used to study stability, to understand TCP's success and its potential for improvement, and to inform the development of future routing and rate control algorithms.

    A further strand of theoretical work has developed a connection level model, that represents the randomly varying number of flows present in a network. Stability on this time-scale is interpreted in terms of recurrence of a Markov chain. In joint work with Kang, Lee and Williams we have begun to understand more about the heavy traffic behavior of this Markov chain, and hence about the performance of joint routing and congestion control. Under proportional fairness and a local traffic condition, the diffusion approximation has a product form invariant distribution with a strikingly simple interpretation in terms of dual random variables, one for each of a set of virtual resources.

    Biography. Frank Kelly is Professor of the Mathematics of Systems in the University of Cambridge, and Master of Christ's College. His main research interests are in random processes, networks and optimization. He is especially interested in applications to the design and control of networks and to the understanding of self-regulation in large-scale systems.

    Frank Kelly has been awarded the Guy Medal in Silver of the Royal Statistical Society, the Lanchester Prize of INFORMS, and the Naylor Prize of the London Mathematical Society. In 2005 he received the IEEE Koji Kobayashi Computer and Communications Award, for his work on dynamic routing in telephone networks and congestion control in the Internet. He has chaired the Advisory Board of the Royal Institution/Cambridge Mathematics Enrichment Project, and the Management Committee of the Isaac Newton Institute for Mathematical Sciences, and has served on the Scientific Council of EURANDOM and the Conseil Scientifique of France Telecom. He spent the academic year 2001-2 as a visiting professor at Stanford University. From 2003-6 he served as Chief Scientific Adviser to the United Kingdom's Department for Transport. He is a Fellow of the Royal Society, a Trustee of RAND Europe, and a member of the Council of the University of Cambridge.
    Semi-Plenaries: We will have two semi-plenaries on Tuesday, Dec. 9 and two on Wednesday, Dec. 10, in Grand Coral 1 and Grand Coral 3.
  • Petros A. Ioannou. Tuesday Dec. 9, 2008, 8:00 AM. Grand Coral 1
    Semi-Plenary Title: Robust Adaptive Control: The Search for the Holy Grail

    Semi-Plenary Abstract. The control system which can force any unknown time varying plant meet the performance requirements with adequate robustness properties is considered as the corresponding Holy Grail in control design. Adaptive control has often been viewed as one of the approaches that could meet this challenge or at least a step towards that direction. Despite the truly remarkable advances in the theory of adaptive control and successful applications there is no justification that we discovered such a miraculous control system.

    In this talk we present a brief history of the developments in adaptive control and applications over the last 30 years, discuss assumptions, advantages, disadvantages, status of the field today as well as present some of the most recent results. We will explain how the library of tools for practical control design is enriched by the adaptive control methodologies and how these methodologies are used to solve many practical problems without having to worry about the discovery of the ultimate control design which may or may not exist.

    Biography. Petros A. Ioannou received the B.Sc. degree with First Class Honors from University College, London, England, in 1978 and the M.S. and Ph.D. degrees from the University of Illinois, Urbana, Illinois, in 1980 and 1982, respectively.

    In 1982, Dr. Ioannou joined the Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, California where he served as a Professor and founder and Director of the Center for Advanced Transportation Technologies. He also held a courtesy appointment with the Department of Aerospace and Mechanical Engineering. His research interests are in the areas of adaptive and nonlinear control, intelligent transportation systems, marine transportation, control of high performance aircraft and control of disc drives. He was visiting Professor at the University of Newcastle, Australia and the Australian National University, the Technical University of Crete and served as the Dean of the School of Pure and Applied Science at the University of Cyprus in 1995. He was a recipient of several Outstanding Research and Presentation Paper Awards and the recipient of a 1985 Presidential Young Investigator Award. Recently he has been appointed as Professor of Electrical Engineering and Information Technologies at the Technical University of Cyprus.

    Dr. Ioannou is a Fellow of IEEE, Fellow of the International Federation of Automatic Control (IFAC) and the author/co-author of 8 books and over 150 research papers in the area of controls, neural networks, intelligent transportation systems and aerospace. Two of the books he coauthored with former students are used as textbooks for adaptive and nonlinear Control courses at several Universities.
  • Anders Rantzer. Tuesday Dec. 9, 2008, 8:00 AM. Grand Coral 3
    Semi-Plenary Title: Distributed Control using Decompositions and Games

    Semi-Plenary Abstract. Many control applications have a decentralized structure, where each subunit has access to different information about the system state. Still, most control theory has been developed in a centralized setting, where all measurements are processed together to compute the control signals. This paradigm has conceptual advantages, but also inherent limitations in terms of complexity and integrity. The purpose of this lecture is to show how ideas from convex optimization and game theory may help to go beyond the traditional paradigm to support analysis and synthesis of distributed controllers.

    In particular, we will reconsider well established methods for decomposition of large scale optimization problems by introduction of dual variables. These can be interpreted as prices in a market mechanism serving to achieve mutual agreement between different subproblems. The same idea can be used for decomposition of large scale control systems, with dynamics in both decision variables and prices. The dynamics bring interesting new phenomena. For example, expected future prices could be highly relevant for todays decisions.

    Decomposition using price mechanisms is closely connected to game theory. A large-scale control system can be viewed as a game involving two types of players; subunits optimizing their local control action in response to prices, and intermediate players adjusting the prices to counteract disagreements between neighboring subunits. The game can be analysed under appropriate convexity assumptions and there is a close connection to the theory of potential games.

    Biography. Anders Rantzer is professor and head of department for Automatic Control at Lund University. He was born in 1963 and received a Ph.D. degree in optimization and systems theory from the Royal Institute of Technology (KTH), Stockholm. After postdoctoral positions at KTH and at IMA, University of Minnesota, he joined the faculty of Lund Univeristy in 1993. He was appointed full professor in 1999. The academic year of 2004/05 he held a visiting faculty position at California Institute of Technology.

    Anders Rantzer has been associate editor of IEEE Transactions on Automatic Control and several other journals. He has served on the Board of Governors of IEEE Control System Society and the Council Of The European Union Control Association. He is a Fellow of IEEE and a member of the Royal Swedish Academy of Engineering Sciences. He is also a winner of the SIAM Student Paper Competition and the IFAC Congress Young Author Price. His research interests are in modeling, analysis and synthesis of control systems, with particular attention to uncertainty, optimization and distributed control.
  • B. Ross Barmish. Wednesday Dec. 10, 2008, 8:00 AM. Grand Coral 1
    Semi-Plenary Title: On Stock Market Modelling and Trading: New Problems for the Control Field

    Semi-Plenary Abstract. The objective of this semi-plenary is to describe a new model for stock and option trading based on control theoretic considerations. The controller is taken to be the amount invested over time and we consider various measures of performance such as trading profit, draw-down and value at risk. In contrast to classical approaches to trading which are based on a stochastic Wiener process description for the evolution of the stock price, our new paradigm involves a rather standard low order state space model and control is implemented via a classical static output feedback.

    In addition to simplicity of this new formulation, another factor motivating this new line of research is the following: Approaches to trading in the literature, based on the use of a Wiener process for stock price prediction, typically involve the questionable assumption that historical volatility can be used "going forward." Said another way, in the case of most past literature, price volatility is assumed to be time-invariant. In recognition of the time-varying "character" of volatility, our new approach does not include a stochastic model for the evolution of stock price. Instead, we simply treat the stock price as an external uncontrolled input belonging to a rather unstructured family P. Given the setting above, we seek to provide various robust performance certifications with respect to the family P. For example, an important goal is to robustly guarantee "excess returns" which exceed some standard benchmark such as buy-and-hold. Finally, the obvious should be noted: Robust performance guarantees involving the model do not imply that the same performance will result when a real time series for stock price is substituted for the price. Therefore, an integral part of this line of research involves extensive back-testing using data derived from real financial markets.

    Biography. B. Ross Barmish received the Bachelor's degree in Electrical Engineering from McGill University in 1971. In 1972 and 1975 respectively, he received the M.S. and Ph.D. degrees, both in Electrical Engineering, from Cornell University. From 1975 to 1978, he served as Assistant Professor of Engineering and Applied Science at Yale University. From 1978 to 1984, he was as an Associate Professor of Electrical Engineering at the University of Rochester and in 1984, he joined the University of Wisconsin, Madison, where he is currently Professor of Electrical and Computer Engineering. From 2001 to 2003, he was with the Department of Electrical Engineering and Computer Science at Case Western Reserve University, where he served as Department Chair while holding the Nord Professorship.

    Professor Barmish is a Fellow of IEEE (contributions to robust control) and has received the Best Paper Award for Journal Publication on two consecutive occasions from the International Federation of Automatic Control. Over the years, he has been involved in a number of IEEE Control Systems Society activities such as associate editorships, conference chairmanships and prize paper committees. He has also served as a consultant for a number of companies and is the author of the textbook New Tools for Robustness of Linear Systems, Macmillan, 1994. Over the last year, his research has concentrated on the modeling and trading of markets for stocks and options.
  • Frank L. Lewis. Wednesday Dec. 10, 2008, 8:00 AM. Grand Coral 3
    Semi-Plenary Title: Optimal Adaptive Neurocontrol

    Semi-Plenary Abstract. Naturally occurring and biological systems often have optimal behavior, for they have limited resources in terms of fuel/energy or reaction time. Likewise, many manmade systems, including electric power systems and aerospace systems, must be optimal due to cost and limited resource factors such as energy or fuel.

    Optimal control design methods are well developed for linear systems, and rely on the solution of certain matrix design equations of the Riccati equation type. Design techniques are off-line, and require knowledge of the system dynamics, i.e. A and B matrices. Robust optimal methods such as LTR guarantee performance in the event of modeling uncertainties. Optimal design for nonlinear systems is problematic as it relies on the solution of design equations in the Hamilton-Jacobi class (HJB, HJI), which may not be solvable for general nonlinear systems. HJ solution also requires full knowledge of the system dynamics.

    Adaptive Controllers use on-line parameter learning methods to produce feedback controllers with guaranteed performance for systems with unknown dynamics. However, adaptive controllers do not generally provide optimal control solutions. Indirect methods have been developed, which require system identification and then Riccati equation solution. Inverse optimal methods for general nonlinear systems do provide adaptation to minimize a resulting performance index (alfc- adaptive Lyapunov function candidate), though it is not of one's own choosing. Adaptive controllers generally minimize a least-squares type (tracking) error. Adaptive systems that optimize a prescribed general performance index of one's own selection are hard to come by.

    In this talk we will explore a new class of Optimal & Adaptive feedback control structures for continuous-time systems that are based on reinforcement learning techniques, specifically policy iteration and Adaptive Dynamic Programming (ADP). Such techniques have primarily been developed in the past decades for discrete-state (Markov) or discrete-time systems. We will develop and rigorously analyze, in a continuous-time framework, learning and adaptation structures that allow the on-line design of feedback controllers that are optimal. Full knowledge of the system dynamics is not needed. Both linear and nonlinear systems are tractable.

    Relations with the operation of some biological structures in the human brain will be drawn.

    Biography. Frank L. Lewis Fellow IEEE, Fellow IFAC, Fellow U.K. Institute of Measurement & Control, PE Texas, U.K. Chartered Engineer, is Distinguished Scholar Professor and Moncrief-O' Donnell Chair at University of Texas at Arlington's Automation & Robotics Research Institute. He obtained the Bachelor's Degree in Physics/EE and the MSEE at Rice University, the MS in Aeronautical Engineering from Univ. W. Florida, and the Ph.D. at Ga. Tech. He works in feedback control, intelligent systems, and sensor networks. He is author of 5 U.S. patents, 199 journal papers, 315 conference papers, and 12 books. He received the Fulbright Research Award, NSF Research Initiation Grant, ASEE Terman Award, and Int. Neural Network Soc. Gabor Award 2008. Received Outstanding Service Award from Dallas IEEE Section, selected as Engineer of the year by Ft. Worth IEEE Section. Listed in Ft. Worth Business Press Top 200 Leaders in Manufacturing. He was appointed to the NAE Committee on Space Station in 1995. He is an elected Guest Consulting Professor at both South China University of Technology and Shanghai Jiao Tong University. Founding Member of the Board of Governors of the Mediterranean Control Association. Helped win the IEEE Control Systems Society Best Chapter Award (as Founding Chairman of DFW Chapter), the National Sigma Xi Award for Outstanding Chapter (as President of UTA Chapter), and the US SBA Tibbets Award in 1996 (as Director of ARRI's SBIR Program).
    Tutorial Sessions
    Tutorials: We will have five tutorials throughout the three conference days. Tutorials have been arranged by invitation and will correspond to the following hot topics:
  • Game Theory and Networks
    Session TuTA06, Grand Coral 3, Tuesday Dec 9, 9.30--11.30

    Organizer: Tamer Basar (University of Illinois at Urbana-Champaign, USA)

    Abstract: Game theory, with its various derivatives, has had tremendous impact on developments in hard and soft sciences as well as engineering during the second half of the twentieth century. And today, it continues to be a major driving force behind conceptual as well as technological developments in various disciplines. One of these areas is networks or networking, particularly communication networks, where users (players in the parlance of game theory) seek to ship traffic (such as packets) from specific sources to targeted destinations over heterogeneous media consisting of wireline and wireless links. Among the decisions that each user is faced with are (i) at what (flow) rate to send her traffic from a particular source to a particular destination, and (ii) how to distribute this rate over the available links connecting the particular source-destination pair---both driven by performance considerations, such as minimum loss (of packets) and minimum delay. There are also the questions of how to bid for the resources (such as bandwidth) that are offered by a service provider, and at a higher level, how to establish an electronic market for a fair and efficient exchange and distribution of goods and services, and how to provide a secure and overall trustworthy network. Game theory, in its both cooperative and noncooperative renditions, provides a perfect paradigm for a systematic study and resolution of several of these critical issues.

    This tutorial session at the 2008 CDC is intended to introduce the audience to some of the essential ingredients of game theory, particularly non-cooperative game theory, and discuss the current state of its applications in networking research. As described below, the three speakers in the session will cover a broad range of topics and issues, from conceptual to computational.

    Session Structure

    • "An Introduction to Non-Cooperative Game Theory: Modeling, Solution Concepts, and Computational Tools," T. Basar, University of Illinois at Urbana-Champaign, USA (40 min.).
    • "Learning in Games" Asuman Ozdaglar, MIT, USA (40 min.).
    • "A Game-Theoretic View of the Economics of ISP-ISP and ISP-Customer Interactions," R. Srikant, University of Illinois at Urbana-Champaign (40 min.).

  • Systems and Synthetic Biology - a Tutorial Introduction
    Session TuTC05, Grand Coral 1, Tuesday Dec 9, 16.50--18.50

    Organizer: Mathukumalli Vidyasagar (Tata Consultancy Services, India)

    Abstract: Systems biology marks the coming of age of the life sciences, wherein the traditional approach of studying individual components in isolation is being replaced by a holistic approach aimed at understanding the behaviour of complex systems. While it has long been known that such an approach is ultimately the only realistic way to understand the working of biological systems and discover cures for complex multi-factorial diseases such as cancer, only in recent times has there been enough data available to pursue such a path. Even so, much of our understanding of the complex signalling pathways is at best sketchy due to a) the lack of complete information for many of the important signalling pathways and b) lack of knowledge of the parameters needed to model the interactions between the components of such pathways. These difficulties have in turn led to a parallel approach involving the assembling of well understood components into a system. This approach, called synthetic biology, holds out the promise of being able to develop novel biological approaches to production of antibiotics, vaccines and so on.

    The three talks in this tutorial are geared towards control theorists who are interested in tackling problems in biology. The first talk provides the necessary biology background and explains the big problems in biology. The second talk addresses the issue of parameter estimation and stochastic approaches to modelling complex biological systems. The final talk will address the problem of designing biological systems for specific functions.

    Session Structure

    • "Introduction to Systems Biology and the Human Body as a Dynamical System," M. Vidyasagar, Tata Consultancy Services, India, (40 min.)
    • "Stochastic Modeling and Analysis of Gene Networks" Mustafa Khammash, University of California, USA (40 min.).
    • "Bio-Circuits by Design: the Exciting Opportunities for Engineering Biology" Hana El-Samad, University of California, USA , (40 min.).

  • Trends in Nonlinear Control
    Session WeTA01, Grand Coral 2, Wednesday Dec 10, 9.30--11.30

    Organizer: Alessandro Astolfi (Imperial College, London UK and Univ. of Rome, Tor Vergata, Italy)

    Abstract: Nonlinear control theory (and its applications) has undergone substantial developments and become one of the most active and important areas of research in the control systems community.

    There are several introductory and advanced textbooks devoted to nonlinear control theory and control has been integrated into the standard graduate curricula in engineering and applied mathematics. In addition, nonlinear control theory is at the basis of the successful development and initiation of several research directions: it plays a fundamental role in the development of systems' biology, in the understanding of complex communication systems, power systems and cooperative systems, in the study of event-driven and agent-based systems, and in the development of an ever increasing number of industrial applications.

    Nonlinear control theory embraces a large number of research areas, which use diverse tools and methods, each well-suited for specific problems. It is therefore extremely difficult to give a tutorial presentation that represent the joint effort of the international research community, and one has to follow personal inclinations.

    This tutorial emphasizes three research directions that (we believe) are important, both from a methodological perspective and from the applications point of view. As a consequence we have left aside several important topics, which would deserve equal attention, for example robust and adaptive control, optimal control, model predictive control, passivity- and energy-based control, variable structure control, differential geometric methods, Lyapunov design, anti-windup methods, singular perturbation methods, ....

    The goal of this tutorial is therefore to illustrate selected research themes that have undergone substantial developments in the past few years, and to highlight related open problems and possible avenues for future research, namely: the role of invariant manifolds in nonlinear control and observer design, the theory of hybrid systems, and the theory of nonlinear digitally controlled systems.

    Session Structure

    • "Invariant manifolds in control and observer design," Alessandro Astolfi, Imperial College London, UK and University of Rome "Tor Vergata," Italy (40 min.).
    • "Hybrid methods for nonlinear control," Andrew R. Teel, University of California Santa Barbara, USA (40 min.).
    • "Digitally controlled systems," Dragan Nesic, The University of Melbourne, Australia, (40 min.).

  • Control Theory and Finance
    Session WeTC07, Coral Garden 1, Wednesday Dec 10, 16.50--18.50

    Organizer: James A. Primbs (Stanford University, USA)

    Abstract: The goal of this session is to provide a tutorial level introduction to applications of control and systems theory to finance. The session is also intended to provide entry points into the diverse field of finance by highlighting a few of the most interesting interactions between finance and control theory.

    The session introduces areas of finance that may be of interest to the control community. In particular it will cover how systems theory underlies fundamental finance results (Luenberger), how control theory is used to address dynamic portfolio problems (Primbs), the dynamical systems aspects of asset price modeling (Rathinam), and areas of finance that are becoming increasingly coupled with physical and engineered systems (Yamada). The next section provides abstracts for the four talks that make up the session

    Session Structure

    • "Systems Theory in Basic Finance," David G. Luenberger, Stanford University, USA (40 min.)
    • "Control Methods for Financial Portfolios," James A. Primbs, Stanford University, USA (40 min.)
    • "Modeling of Trader Behavior and Asset Dynamics," Muruhan Rathinam, University of Maryland, USA (20 min.).
    • "The Interaction of Financial and Engineered Systems," Yuji Yamada, U. of Tsukuba, Japan, (20 min.).

  • Computer Vision and Control
    Session ThTA05, Grand Coral 1, Thursday Dec 11, 9.30--11.30

    Organizer: Octavia I. Camps (Northeastern University, Boston, USA)

    Abstract: The goal of computer vision is to make useful decisions about real physical objects and scenes from images. It brings together imaging devices, computers, and sophisticated algorithms to solve problems in a wide range of areas including, autonomous navigation, surveillance, medicine, human-computer interfaces and image database retrieval, among others. However, vision systems remain fragile to occlusion, clutter, and variable appearance and have limited application outside structured environments.

    During the past decades systems theory has achieved a high degree of maturity, leading to powerful and sophisticated tools that have allowed for solving diffcult practical problems. Central to the success of this effort is a viewpoint that emphasizes both robustness and complexity issues, seeking for computationally tractable solutions, or in cases where the underlying problem is intrinsically hard, for tractable relaxation with suboptimality certificates. The potential of these ideas extends beyond traditional control theory and in fact, they hold the key in addressing and solving many of the issues mentioned above as demonstrated by the talks in this session.

    The Computer Vision and Control tutorial session at the 2008 CDC illustrates the successful application of system theoretic motivated ideas to several practically relevant problems arising in the context of computer vision: tracking, image segmentation, image modeling, and video segmentation and classification. It offers a good cross-section of the current state of the field and points to open problems. The talks show how the use of system theoretic tools in computer vision have led to either new theoretical results, solutions to open problems or a better understanding of the phenomena involved, while offering a good cross-section of the current state of the field and pointing to problems that remain open.

    Session Structure

    • "The Role of Dynamics in Computer Vision and Image Processing," Mario Sznaier and Octavia Camps, Northeastern University, USA (30 min.).
    • "Some Identification Techniques in Computer Vision," Alessandro Chiuso and Giorgio Picci, University of Padova, Italy (30 min.).
    • "Classification of Dynamical Systems using Binet-Cauchy Kernels, Support Vector Machines and DynamicBoost," Rene Vidal, Johns Hopkins University, USA (30 min.).
    • "Tracking Deforming Objects Using Particle Filtering and Geometric Active Contours," Allen Tannenbaum, Georgia Institute of Technology, USA (30 min.).

    Special Sessions
    Special Sessions: There will be two special sessions at the conference:
  • Celebrating Pontryagin's Contributions to Control Theory
    Coral I, Dec. 11 (Thursday), 8:15 am - 9:15 am

    Organizer: Kishan Baheti, National Science Foundation, USA
    Additional Participants: A. Kurzhanski (Moscow State University, Russia), P. V. Kokotovic (University of California at Santa Barbara, USA), A.V. Balakrishnan (University of California at Las Angeles, USA)

    Abstract: As soon as "The Pontryagin Maximum Principle" was published in 1956-1958, the principle became an instant celebrity. In addition to control theory, Pontryagin has made pioneering contributions to topology and differential game theory. This year a conference was organized in his honor in Moscow to celebrate his one hundredth birth anniversary. Pontryagin lost his eyesight at the age of eleven because of a freak accident and was schooled by his mother. The purpose of the session is to inform the CDC participants the life and legacy of the great mathematician from Russia. The speakers will share their personal experiences with Pontryagin and how his work influenced many researchers of his generation. The session will include a video presentation by Pontryagin that was recorded in 1972, when he gave several lectures on differential games while visiting UCLA.

  • NSF Initiative on Cyber-Physical Systems: Opportunity for Computer Science and Control Engineering
    Place to be assigned, Dec. 9 (Tuesday), 1:20 pm - 1:50 pm

    Organizers: Kishan Baheti, National Science Foundation, USA; Michael Branicky, National Science Foundation, USA

    Abstract: The session will provide overview of recent activities at the National Science Foundation that are important to the Control Systems and Computer Science researcher communities. The presentation will include details on the recently announced funding opportunities in cyber-physical systems (CPS). The term CPS refers to the tight conjoining of and coordination between computational and physical resources.  We envision that the cyber-physical systems of tomorrow will far exceed those of today in terms of adaptability, autonomy, efficiency, functionality, reliability, safety, and usability.  Research advances in cyber-physical systems promise to transform our world with systems that respond more quickly (e.g., autonomous collision avoidance), are more precise (e.g., robotic surgery and nano-tolerance manufacturing), work in dangerous or inaccessible environments (e.g., autonomous systems for search and rescue, firefighting, and exploration), provide large-scale, distributed coordination (e.g., automated traffic control), are highly efficient (e.g., zero-net energy buildings), augment human capabilities, and enhance societal wellbeing (e.g., assistive technologies and ubiquitous healthcare monitoring and delivery).

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