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Titlebook: Learning, Control and Hybrid Systems; Festschrift in honor Yutaka Yamamoto,Shinji Hara Conference proceedings 1999 Springer-Verlag London 1

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发表于 2025-3-21 16:51:49 | 显示全部楼层 |阅读模式
书目名称Learning, Control and Hybrid Systems
副标题Festschrift in honor
编辑Yutaka Yamamoto,Shinji Hara
视频video
概述A unique opportunity for readers to have access to a book devoted to the broad areas of system/control Future trends and new approaches are predicted and discussed by world-wide experts This unrivalle
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Learning, Control and Hybrid Systems; Festschrift in honor Yutaka Yamamoto,Shinji Hara Conference proceedings 1999 Springer-Verlag London 1
描述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 approache
出版日期Conference proceedings 1999
关键词Nonlinear system; complex system; complex systems; control; dynamical systems; feedback; fuzzy control; opt
版次1
doihttps://doi.org/10.1007/BFb0109717
isbn_softcover978-1-85233-076-7
isbn_ebook978-1-84628-533-2Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag London 1999
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Probabilistic search algorithms for robust stability analysis and their complexity properties,ms are NP hard. We show that if instead of worst-case guaranteed conclusions, one is willing to draw conclusions with a high degree of confidence, then the computational complexity decreases dramatically.
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Overview of complexity and decidability results for three classes of elementary nonlinear systems,nt complexity of some of the most elementary problems in systems and control points to the necessity of using alternative approximate techniques to deal with problems that are unsolvable or intractable when exact solutions are sought..We survey some of the decidability and complexity results availab
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Optimum biorthogonal subband coders,te decorrelated quantizer distortion, it derives the filter bank that maximizes the coding gain. Ingredients to the solution include design techniques developed by Vaidyanathan for optimal orthonormal subband coders and a generalization of the half whitening process that is known to maximize the cod
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Controller switching based on output predictions, controller is selected on-line from a given set of controllers according to a switching rule based on output prediction errors. We provide sufficient conditions under which the switched closed loop control system is exponentially stable and asymptotically achieves good tracking control even if the
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Variable structure control for sampled-data systems,us-time VS control law is designed to move the system state from the outside to the inside of the sliding sector. The sector is defined as the .-Sliding Sector where the norm is defined as the quadratic form of the state with the symmetric matrix . and its derivative is less than negative of a quadr
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,Identification for control — What is there to learn?,rate the fit to important frequency ranges, and how to determine which these are. Iterative and adaptive approaches are put into this framework, as well as model validation. Particular attention is paid to the presentation and visualization of the results of residual analysis.
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