Fuzzy Modeling and Fuzzy Control
Samenvatting
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.
Specificaties
Inhoudsopgave
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
Index