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Keynote Addresses

The organizing committee of ICCA'11 is proud to present the following keynote addresses by three internationally renowned experts in control and automation:

Professor Graham C. Goodwin
Director, ARC Centre for Complex Dynamic Systems and Control
School of Electrical Engineering and Computer Science
The University of Newcastle
Callaghan, NSW 2308, Australia
Email: Graham.Goodwin@newcastle.edu.au
website: http://livesite.newcastle.edu.au/cdsc/profiles/profile_graham_goodwin.page

The Scenario Approach to Stochastic Optimization

Abstract: Many design problems in control, telecommunications and signal processing can be expressed as optimization problems. Many of these problems are stochastic in the sense that they are parameterized by random/uncertain variables. The goal of the current paper is to review recent research on stochastic optimization. We specifically address the issue of scenario generation which lies at the heart of the solution to such problems.

Graham Goodwin obtained a B.Sc (Physics), B.E (Electrical Engineering), and Ph.D from the University of New South Wales. He is currently Laureate Professor of Electrical Engineering at the University of Newcastle, Australia and is Director of an Australian Research Council Centre of Excellence for Complex Dynamic Systems and Control. He holds Honorary Doctorates from Lund Institute of Technology, Sweden and the Technion Israel. He is the co-author of eight books, four edited books, and many technical papers. Graham is the recipient of Control Systems Society 1999 Hendrik Bode Lecture Prize, a Best Paper award by IEEE Transactions on Automatic Control, a Best Paper award by Asian Journal of Control, and 2 Best Engineering Text Book awards from the International Federation of Automatic Control in 1984 and 2005. In 2008 he received the Quazza Medal from the International Federation of Automatic Control.

He is a Fellow of IEEE; an Honorary Fellow of Institute of Engineers, Australia; a Fellow of the International Federation of Automatic Control, a Fellow of the Australian Academy of Science; a Fellow of the Australian Academy of Technology, Science and Engineering; a Member of the International Statistical Institute; a Fellow of the Royal Society, London and a Foreign Member of the Royal Swedish Academy of Sciences.

Professor Kumpati S. Narendra
Department of Electrical Engineering
Yale University
10 Hillhouse Avenue, Dunham Laboratory 512, New Haven, CT 06511, USA
Email: kumpati.narendra@yale.edu
Website: http://www.seas.yale.edu/faculty-detail.php?id=78

Adaptive Control In Rapidly Varying Environments: A New Approach

Abstract: The accepted philosophy among adaptive control theorists over the past decades has been that if an adaptive system is fast and accurate when plant parameters are unknown but constant, it will perform satisfactorily in rapidly time-varying environments. Such environments are arising in a variety of disciplines including medicine, computer vision, and financial markets. Classical adaptive control methods based on the use of a single identification model are found to be inadequate to cope with such problems. During the past fifteen years, efforts have been made to extend the general methodology of adaptive control with the use of multiple identification models. Among numerous methods that were proposed, two approaches referred to as "switching" and "switching and tuning" have emerged over the years as the most successful ones.

The central thesis of the lecture is that the use of multiple models for the identification of a plant to be controlled is an efficient way of dealing with adaptation in time-varying environments. After proposing a radically new way of using multiple models, and a mathematical framework for dealing with such problems, the lecture will discuss how it differs from earlier methods. The stability characteristics of the overall system will also be discussed. Simulation results will be presented to demonstrate that the new method is substantially faster than earlier ones in time invariant environments. This makes it a good candidate for adaptation in time-varying environments, and the latter will be demonstrated using simulation studies.

Kumpati S. Narendra is currently the Harold W. Cheel Professor of Electrical Engineering and the Director of the Center for Systems Science at Yale University. He received the Ph.D. degree from Harvard University in 1959. From 1961 to 1965 he was an Assistant Professor at Harvard. In 1965, he joined the Department of Engineering and Applied Science at Yale, and was made Professor in 1968. From 1984 to 1987 he was the Chairman of the Electrical Engineering Department, and from 1995 to 1996 he was the Director of the Neuroengineering and Neuroscience Center at Yale University. In 1995 his alma mater in India the University of Madras (now Anna University) conferred on him an honorary Doctor of Science degree. In 2007 he received an honorary Doctor of Science degree from the National University of Ireland at Maynooth.

Professor Narendra is the author of over 200 technical articles in systems theory. He is the author of three books and the editor of four others in the area of stability theory, adaptive control and learning automata. He has served on various national and international committees, and has been a consultant for over 15 industrial research laboratories (including Sikorsky Aircraft, General Motors, and AT&T) during the past 40 years. During this period, 44 doctoral students and over 30 postdoctoral and visiting fellows have come from around the world to work with him.

Professor Narendra has received numerous honors for his work. They include the Franklin V. Taylor Memorial Award of the IEEE, Systems, Man, and Cybernetics Society (1972), the George S. Axelby Best Paper Award of the Control Systems Society (1987), the John R. Ragazzini Education Award of the American Automatic Control Council (AACC) (1990), The IEEE Neural Network Council Best Paper Award (1991), The Bode Prize of the IEEE Control Systems Society (1995), and the Richard E. Bellman Control Heritage Award of the AACC, “for Pioneering Contributions to Stability theory, and Adaptive and Learning theory” in 2003. In 2007, he received a Walton Fellowship of the Science Foundation of Ireland, and in 2008 he was awarded the Neural Networks Pioneer Award of the International Computational Intelligent Society.

Professor Pedro Albertos
Department of Systems Engineering and Control (DISA)
Universidad Politecnica de Valencia (UPV)
C/ Vera s/n, 46022 Valencia, Spain.
Email: pedro@aii.upv.es

Ripple free design of multirate control systems

Abstract: In this talk, the general problem of multirate control systems where the discrete time signals are not synchronized is reviewed. Different controller design approaches are reviewed. These controllers are designed by using inference, process model splitting and block aggregating multirate signals, showing the undesired presence of ripple. The control goal may be defined based on the dynamic behavior or any other property, although emphasis is done on optimal controllers. The drawbacks of multirate controllers, and particularly the intersampling ripple, are analyzed and a design methodology to avoid the ripple is presented. For that purpose, a periodic control law based on the sampling pattern is derived. The approach is applicable to multivariable systems. A number of examples illustrate the approaches.

Pedro Albertos, past president of IFAC (the International Federation of Automatic Control) in 1999-2002, and Senior Member of IEEE, is a world recognized expert in real-time control, leading several projects in the field. Full Professor since 1975, he is currently at Systems Engineering and Control Dept. UPV, Spain. He is Doctor Honoris-Causa from Oulu University (Finland) and Bucharest Polytechnic (Rumania), and Honorary Professor at Northeastern University, Shenyang, P.R. China, where he is currently on sabbatical leave. Invited Professor in more than 20 Universities, he delivered seminars in more than 30 universities and research centres. Authored over 300 papers, book chapters and congress communications, co-editor of 7 books and co-author of “Multivariable Control Systems” (Springer 2004) and “Feedback and Control for Everyone” (Springer 2010), he is also associated editor of Control Engineering Practice and Automatica and Editor in Chief of the Spanish journal RIAI.

His research interest includes multivariable control and non-conventional sampling control systems, with focus on time delays and multirate sampling patterns, being involved in the ARTIST2 Node of Excellence on Embedded Control Systems.