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

Kazuo Tanaka

ISBN 10: 0471323241 / ISBN 13: 9780471323242

Published by Wiley Jul 2001, 2001

About this Item

Neuware - 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.; Fuzzy Control, die Steuerung von Prozessen auf der Grundlage von Fuzzy Logic, wird in diesem Werk auf hohem Niveau besprochen. Die Autoren führen die Anwendung linearer Matrixungleichungen in dieses Gebiet ein und diskutieren hier Designbeispiele aus der Robotik und der Steuerung chaotischer Systeme.

Seller Inventory # 9780471323242

Bibliographic Details

• Title: Fuzzy Control Systems Design and Analysis : A Linear Matrix Inequality Approach
• Publisher: Wiley Jul 2001
• Publication Date: 2001
• Language: English
• ISBN 10: 0471323241
• ISBN 13: 9780471323242
• Binding: Buch
• Condition: Neu
• Dimensions: 240W x 161H x 22D millimeters 240 millimeters width by 161 millimeters height by 22 millimeters depth
• Weight: 654 grams

About this title

Synopsis

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.

About the Author

KAZUO TANAKA is Professor in the Department of Mechanical Engineering and Intelligent Systems at the University of Electro-Communications in Tokyo, Japan.

HUA O. WANG is Professor in the Department of Electrical and Computer Engineering at Duke University in Durham, North Carolina.