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Fuzzy control systems design and analysis a linear matrix inequality approach /

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 fuz...

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Bibliographic Details
Main Authors: Tanaka, Kazuo, 1962
Group Author: Wang, Hua O
Published:
Literature type: Electronic eBook
Language: English
Subjects:
Linear control systems
Fuzzy systems
Commande linéaire
Systèmes flous
TECHNOLOGY & ENGINEERING > Automation
TECHNOLOGY & ENGINEERING > Robotics
Control systems technology.
Electronic books
Online Access: http://onlinelibrary.wiley.com/book/10.1002/0471224596
Summary: 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.
Item Description: "A Wiley-Interscience publication."
Carrier Form: 1 online resource (xiii, 305 pages) : illustrations
Bibliography: Includes bibliographical references and index.
ISBN: 0471465224
9780471465225
0471323241
9780471323242
0471224596
9780471224594
Index Number: TJ220
CLC: TP273
Contents: Takagi-Sugeno Fuzzy Model and Parallel Distributed Compensation --
LMI Control Performance Conditions and Designs --
Fuzzy Observer Design --
Robust Fuzzy Control --
Optimal Fuzzy Control --
Robust-Optimal Fuzzy Control --
Trajectory Control of a Vehicle with Multiple Trailers --
Fuzzy Modeling and Control of Chaotic Systems --
Fuzzy Descriptor Systems and Control --
Nonlinear Model Following Control --
New Stability Conditions and Dynamic Feedback Designs --
Multiobjective Control Via Dynamic Parallel Distributed Compensation --
T-S Fuzzy Model as Universal Approximator --
Fuzz

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