Fuzzy Modeling and Fuzzy Control / Edition 1

by Huaguang Zhang, Derong Liu

Overview

Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems. Careful consideration is given to questions concerning model complexity, model precision, and computing time.

In addition to being an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, the book may also be appropriate for classroom use in a graduate course in electrical engineering, computer engineering, and computer science. Applied mathematicians, control engineers, computer scientists, and physicists will benefit from the presentation as well.

Product Details

ISBN-13:	9780817644918
Publisher:	Birkhäuser Boston
Publication date:	09/26/2006
Series:	Control Engineering
Edition description:	2006
Pages:	416
Product dimensions:	6.14(w) x 9.25(h) x 0.04(d)

Table of Contents

Fuzzy Set Theory and Rough Set Theory.- Identification of the Takagi-Sugeno Fuzzy Model.- Fuzzy Model Identification Based on Rough Set Data Analysis.- Identification of the Fuzzy Hyperbolic Model.- Basic Methods of Fuzzy Inference and Control.- Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties.- Fuzzy Control Schemes via a Fuzzy Performance Evaluator.- Multivariable Predictive Control Based on the T-S Fuzzy Model.- Adaptive Control Methods Based on Fuzzy Basis Function Vectors.- Controller Design Based on the Fuzzy Hyperbolic Model.- Fuzzy H— Filter Design for Nonlinear Discrete-Time Systems with Multiple Time-Delays.- Chaotification of the Fuzzy Hyperbolic Model.- Feedforward Fuzzy Control Approach Using the Fourier Integral.

Editorial Reviews

From the reviews:

"Of the books on fuzzy control I have had a chance to study, this one ranks among the best. It can be recommended as a textbook for an advanced course in fuzzy control. Moreover, researchers as well as practitioners in the field of control will definitely profit from the book."

—SIAM Review

"After introducing some basic concepts and terminologies of fuzzy theory, the authors provide a systematic discussion about fundamental methodologies of fuzzy modeling and fuzzy control of complex nonlinear systems with uncertainty. This book is well written. All concepts and terminologies are carefully defined and explained. … The book is aimed at graduate students and researchers in electrical engineering, computer engineering, computer science, physical sciences, and any of the engineering disciplines." (Peihua Qiu, Technometrics, Vol. 50 (3), August, 2008)

"This book presents a systematic framework targeting at fuzzy modeling and fuzzy control of nonlinear systems with uncertainties. ... [It] is a valuable resource for those researchers and practitioners interested in expanding their knowledge from fuzzy logic and application to nonlinear dynamical systems. It discusses a currently very active research topic and provides an excellent extension to a graduate course in nonlinear dynamic systems or fuzzy modeling and control. ... Professor Zhang and Professor Liu have made important research contributions in the area of fuzzy modeling and fuzzy control.”

—IEEE Computational Intelligence Magazine

From the Publisher