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Fuzzy Control Systems Design and Analysis – A Linear Matrix Inequality Approach Hardback - 2001 - 1st Edition
by Tanaka, Kazuo/ Wang, Hua O
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- Hardback
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Details
- Title Fuzzy Control Systems Design and Analysis – A Linear Matrix Inequality Approach
- Author Tanaka, Kazuo/ Wang, Hua O
- Binding Hardback
- Edition number 1st
- Edition 1
- Condition New
- Pages 320
- Volumes 1
- Language ENG
- Publisher Wiley-Interscience, New York, NY, U.S.A.
- Publication date 2001
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- Bookseller's Inventory # x-0471323241
- ISBN 9780471323242 / 0471323241
- Weight 1.3 lbs (0.59 kg)
- Dimensions 9.56 x 6.45 x 0.8 in (24.28 x 16.38 x 2.03 cm)
- Category Technology & Industrial Arts
- Library of Congress subjects Fuzzy systems, Linear control systems
- Library of Congress Catalogue Number 2001024238
- Dewey Decimal Code 629.832
- Quantity available 2
About Revaluation Books Devon, United Kingdom
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General bookseller of both fiction and non-fiction.
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From the publisher
First line
This book gives a comprehensive treatment of model-based fuzzy control systems.
From the rear cover
A comprehensive treatment of model-based fuzzy control systems
This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications.
Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model.
This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field.
Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.
This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications.
Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model.
This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field.
Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.
