Learning, control, and hybrid systems : Festschrift in honor of Bruce Allen Francis and Mathukumalli Vidyasagar on the occasion of their 50th birthdays
著者
書誌事項
Learning, control, and hybrid systems : Festschrift in honor of Bruce Allen Francis and Mathukumalli Vidyasagar on the occasion of their 50th birthdays
(Lecture notes in control and information sciences, 241)
Springer, c1999
- : pbk
大学図書館所蔵 全33件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
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.
目次
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.
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