Adaptive Approximation Based Control
Language: English
Published by John Wiley & Sons Inc, 2006
- First Edition
- Hardcover
- New
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.
AbeBooks seller since February 27, 2001
Condition: New
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Add to basketItem description from seller
A highly accessible and unified approach to the design and analysis of intelligent control systems Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 440 pages, Illustrations. BIC Classification: TJFM. Category: (P) Professional & Vocational. Dimension: 234 x 162 x 24. Weight in Grams: 706. . 2006. 1st Edition. Hardcover. . . . .
Seller Inventory # V9780471727880
- Title
- Adaptive Approximation Based Control
- Author
- Jay A. Farrell
- Publisher
- John Wiley & Sons Inc
- Publication year
- 2006
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 0471727881
- ISBN 13
- 9780471727880
- Edition
- 1st Edition
- Series
- Book 12 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox.
Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before.
The authors provide readers with a thought-provoking framework for rigorously considering such questions as:
* What properties should the function approximator have?
* Are certain families of approximators superior to others?
* Can the stability and the convergence of the approximator parameters be guaranteed?
* Can control systems be designed to be robust in the face of noise, disturbances, and unmodeled effects?
* Can this approach handle significant changes in the dynamics due to such disruptions as system failure?
* What types of nonlinear dynamic systems are amenable to this approach?
* What are the limitations of adaptive approximation based control?
Combining theoretical formulation and design techniques with extensive use of simulation examples, this book is a stimulating text for researchers and graduate students and a valuable resource for practicing engineers.
"Synopsis" may belong to another edition of this title.
About the Author
MARIOS M. POLYCARPOU, PhD, is Professor and Interim Head of the Department of Electrical and Computer Engineering at the University of Cyprus. Dr. Polycarpou is the Editor in Chief of the IEEE Transactions on Neural Networks. He is an IEEE Fellow and has published more than 150 articles for journals, books, and conference proceedings. Dr. Polycarpou was also the recipient of the William H. Middendorf Research Excellence Award at the University of Cincinnati.
"About the title" may belong to another edition of this title.
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