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Kapcsolat

Fuzzy Control Systems Design and Analysis - A Linear Matrix Inequality Approach

Szerző: Kazuao Tanaka, Hua O. Wang

Nyelv:

Kötés: Kemény kötésű

Kiadó: John Wiley & Sons Inc

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

71 565 Ft

A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of t...

Információk a könyvről

Szerző

Kazuao Tanaka, Hua O. Wang

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2001

oldal

320

EAN

9780471323242

ISBN

0471323241

Enbook ID

04889762

Kiadó

John Wiley & Sons Inc

Súly

606

Méretek

166 x 246 x 24

Teljes leírás

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.