<p><span>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 bo
Fuzzy Modeling and Fuzzy Control (Control Engineering)
β Scribed by Huaguang Zhang, Derong Liu
- Publisher
- BirkhΓ€user Boston
- Year
- 2006
- Tongue
- English
- Leaves
- 422
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front-matter......Page 1
Contents......Page 6
Preface......Page 10
Ch 1 Fuzzy Set Theory and Rough Set Theory......Page 14
Ch 2 Identification of the Takagi-Sugeno Fuzzy Model......Page 46
Ch 3 Fuzzy Model Identification Based on Rough Set Data Analysis......Page 90
Ch 4 Identification of the Fuzzy Hyperbolic Model......Page 121
Ch 5 Fuzzy Inference and Control Methods Involving Two......Page 148
Ch 6 Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties......Page 184
Ch 7 Fuzzy Control Schemes via a Fuzzy Performance Evaluator......Page 206
Ch 8 Multivariable Predictive Control Based on the T-S Fuzzy Model......Page 252
Ch 9 Adaptive Control Methods Based on Fuzzy Basis Function Vectors......Page 283
Ch 10 Controller Design Based on the Fuzzy Hyperbolic Model......Page 308
Ch 11 Fuzzy HInfty Filter Design for Nonlinear Discrete-TimeSystems with Multiple Time-Delays......Page 331
Ch 12 Chaotification of the Fuzzy Hyperbolic Model......Page 364
Ch 13 Feedforward Fuzzy Control Approach Using the Fourier Integral......Page 395
Index......Page 419
π SIMILAR VOLUMES
<p><B>Model Based Fuzzy Control</B> uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of
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 f
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 presen
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 f