Titel: Fuzzy Modeling and Fuzzy Control
Autor/en: Derong Liu, Huaguang Zhang
HC runder Rücken kaschiert.
26. September 2006 - gebunden - 436 Seiten
Fuzzy logic methodology has proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology is applicable to many real-world problems, especially in the area of consumer products. This book presents the first comprehensive, unified treatment of fuzzy modeling and fuzzy control, providing tools for the control of complex nonlinear systems. Coverage includes model complexity, model precision, and computing time. This is an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, and also useful for graduate courses in electrical engineering, computer engineering, and computer science.
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 for 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-infinity 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
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."
"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