Learning, Control and Hybrid Systems

Shinji Hara

ISBN 10: 1852330767 / ISBN 13: 9781852330767

Editore: Springer London Okt 1998, 1998

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 472 pp. Englisch.

Codice articolo 9781852330767

Dati bibliografici

• Titolo: Learning, Control and Hybrid Systems
• Editore: Springer London Okt 1998
• Data di pubblicazione: 1998
• Lingua: Inglese
• ISBN 10: 1852330767
• ISBN 13: 9781852330767
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 26 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 26 millimetri di profondità
• Peso: 709 grammi

Descrizione articolo

Riassunto

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.

Contenuti

Randomized algorithms for robust controller synthesis using statistical learning theory.- Probabilistic search algorithms for robust stability analysis and their complexity properties.- Overview of complexity and decidability results for three classes of elementary nonlinear systems.- Computational complexity in robust controller synthesis.- Switching surfaces and groebner bases.- From digital control to digital signal processing.- From sampled-data control to signal processing.- Optimum biorthogonal subband coders.- Controller switching based on output predictions.- Hybrid control of inverted pendulums.- Variable structure control for sampled-data systems.- A control engineer’s perspective on fuzzy control.- Identification for control — What is there to learn?.- Identification of complex systems.- Recent results on the analytic center approach for bounded error parameter estimation.- Universal output prediction and nonparametric regression for arbitrary data.- Model reduction for classes of uncertain, multi-dimensional, parameter varying and non-linear systems.- Information and control: Witsenhausen revisited.- A control problem for gaussian states.- Frequency domain solution of the H ? problem for descriptor systems.- A unified approach to H ? control by J-causal-anticausal factorization.- H ? in flight.- ?-Analysis and synthesis based on parameter dependent multipliers.- Optimal controllers which ‘work’ in presence of plant & controller uncertainty.- Time domain characterizations of performance limitations of feedback control.- Loopshaping by quadratic constraints on open-loop transfer functions.- Control of hysteretic systems: A state-space approach.