Fuzzy Control Systems Design and Analysis : A Linear Matrix Inequality Approach
Tanaka, Kazuo · Wiley-Interscience, 2001
- Publisher
- Wiley-Interscience, 2001
- Physical description
- 320 pages
- ISBN
- 0471224596 (electronic bk.)
- Dewey classification
- 629.832
- Language
- English
Summary
Summary: A comprehensive treatment of model-based fuzzy control systemsThis 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
Digital copy
Catalogue record
| Field | Value |
|---|---|
| 001Control number | 18190 |
| 003Control number identifier | OCoLC |
| 005Date and time of latest transaction | 19 Mar 2008, 11:14 |
| 006Fixed-length data elements – additional material characteristics | m d |
| 008Fixed-length data elements | 030713s2001 nyu s eng d |
| 020International Standard Book Number (ISBN) | 0471224596 (electronic bk.) 0471323241 (print ed.) |
| 041Language code | eng |
| 082Dewey Decimal call number | 629.832 21 |
| 100Main entry – personal name | Tanaka, Kazuo. |
| 245Title statement | Fuzzy Control Systems Design and Analysis [electronic resource] / A Linear Matrix Inequality Approach Kazuo Tanaka, Hua O. Wang. |
| 260Publication, distribution, etc. (imprint) | Wiley-Interscience, 2001 |
| 300Physical description | xxx, 320 p. |
| 500General note | "A Wiley-Interscience publication." |
| 504Bibliography, etc. note | Includes bibliographical references and index. |
| 520Summary, etc. | Summary: A comprehensive treatment of model-based fuzzy control systemsThis 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. |
| 533Reproduction note | Electronic reproduction Somerset, New Jersey : Wiley InterScience, 2002. Available via World Wide Web. |
| 650Subject added entry – topical term |
|
| 700Added entry – personal name | Wang, Hua O. |
| 710Added entry – corporate name | John Wiley & Sons. |
| 776Additional physical form entry |
|
| 999Collection | Downloads |
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