Kazuo Tanaka, Hua O. Wang – Fuzzy Control Systems. Design and Analysis

Kazuo Tanaka, Hua O. Wang – Fuzzy Control Systems. Design and Analysis

Kazuo Tanaka, Hua O. Wang – Fuzzy Control Systems. Design and Analysis

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Description

KAZUO TANAKA, HUA O. WANG – FUZZY CONTROL SYSTEMS. DESIGN AND ANALYSIS

There is a treatment for model-based fuzzy control systems.

The framework for the stability and design of fuzzy control systems is covered in this volume. The Takagi-Sugeno fuzzy model has been used to address a number of important issues in fuzzy control systems.

The validity and applicability of fuzzy control methodology depends on issues that have not been fully treated in existing texts. 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.

A section on the use of linear matrix inequalities as an approach to fuzzy design and control is included in this balanced treatment. Modelling and control of chaotic systems are topics covered in model-based fuzzy control systems. Practical examples can be found in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems.

Design and analysis of fuzzy control systems. An advanced treatment of fuzzy control makes a useful reference for researchers and a reliable text for advanced graduate students in the field.

TABLE OF CONTENTS

Preface.

Acronyms.

There is an introduction.

Parallel distributed compensation and Takagi-Sugeno Fuzzy Model.

Performance conditions and designs are controlled by LMI.

The design is Fuzzy Observer.

There is a robust Fuzzy Control.

Optimal control.

Fuzzy control is robust and optimal.

The vehicle has multiple trailers.

Chaotic systems are modeled and controlled.

There are Fuzzy Descriptor Systems and Control.

There is a model following control.

There are new stability conditions and feedback designs.

Dynamic parallel distributed compensation is used for multiobjective control.

T-S Fuzzy Model is a Universal Approximator.

There is a Fuzzy Control of Time-Delay Systems.

Index.

AUTHOR INFORMATION

The Department of Mechanical Engineering and Intelligent Systems at the University of Electro-Communications in Tokyo, Japan has a Professor named Kazio Tanaka.

The Department of Electrical and Computer Engineering at Duke University has a professor named Hua O. Wang.

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