Learning, Control and Hybrid Systems

1. Front Matter

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2. Randomized algorithms for robust controller synthesis using statistical learning theory

   • M. Vidyasagar

   Pages 3-24

3. Probabilistic search algorithms for robust stability analysis and their complexity properties

   • Pramod P. Khargonekar, Ashok Tikku

   Pages 25-45

4. Overview of complexity and decidability results for three classes of elementary nonlinear systems

   • Vincent D. Blondel, John N. Tsitsiklis

   Pages 46-58

5. Computational complexity in robust controller synthesis

   • Shinji Hara, Yuji Yamada

   Pages 59-80

6. Switching surfaces and groebner bases

   • Tryphon Georgiou, Allen Tannenbaum

   Pages 81-89

7. From digital control to digital signal processing

   • Bruce A. Francis

   Pages 93-107

8. From sampled-data control to signal processing

   • Yutaka Yamamoto, Pramod P. Khargonekar

   Pages 108-126

9. Optimum biorthogonal subband coders

   • Soura Dasgupta

   Pages 127-134

10. Controller switching based on output predictions

    • Judith Hocherman-Frommer, Sanjeev R. Kulkarni, Peter J. Ramadge

    Pages 135-149

11. Hybrid control of inverted pendulums

    • K. J. Åström

    Pages 150-163

12. Variable structure control for sampled-data systems

    • Katsuhisa Furuta, Yaodong Pan

    Pages 164-183

13. A control engineer’s perspective on fuzzy control

    • Stephen Yurkovich

    Pages 184-204

14. Identification for control — What is there to learn?

    • Lennart Ljung

    Pages 207-225

15. Identification of complex systems

    • Munther A. Dahleh

    Pages 226-244

16. Recent results on the analytic center approach for bounded error parameter estimation

    • Er-Wei Bai, Roberto Tempo, Yinyu Ye

    Pages 245-253

17. Universal output prediction and nonparametric regression for arbitrary data

    • S. R. Kulkarni, S. E. Posner

    Pages 254-268

18. Model reduction for classes of uncertain, multi-dimensional, parameter varying and non-linear systems

    • K. Glover, P. J. Goddard, Y. -C. Chu

    Pages 269-280

19. Information and control: Witsenhausen revisited

    • Sanjoy Mitter, Anant Sahai

    Pages 281-293

20. A control problem for gaussian states

    • Masahiro Yanagisawa, Hidenori Kimura

    Pages 294-313

This volume covers a wide variety of papers on learning, control and hybrid systems. The papers are the proceedings of the Bangalore Workshop held in January 1998, that honoured the 50th birthdays of Mathukumalli Vidyasagar and Bruce Allen Francis. The 27 papers, written by international specialists in the field, cover a variety of interests. The editors have grouped these into the following 4 categories: a) Learning and Computational Issues b) Hybrid Systems c) Modeling, Identification and Estimation d) Robust Control. The research areas are diverse and comprehensive, giving the reader a unique opportunity to explore a variety of fields in which control/system theorists will be interested. Specific topics include: learning in dynamical systems, randomized algorithms in robust control design, identification of systems, digital signal processing, robust and H-infinity control, control of hybrid systems and supervisory control. This book will also provide readers with an insight into future directions in control and system theory, as they are predicted by experts from around the world. Readers will also benefit from being able share with the participants in the exciting new approaches to control and system theory that were discussed at the workshop. Future directions are predicted by experts from around the world.

• Nonlinear system
• complex system
• complex systems
• control
• dynamical systems
• feedback
• fuzzy control
• optimal control
• robust control
• signal processing
• stability
• system
• systems theory
• uncertainty

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