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Analysis and Synthesis for Interval Type-2 Fuzzy-Model-Based Systems
Authors: Li, H., Wu, L., Lam, H.-K., Gao, Y. The first book on modeling, analysis and synthesis of interval type-2 TS fuzzy systems Develops a uniform accurate method which is capable of dealing with uncertainties existing in the membership functions Presents a systematic procedure of analysis and synthesis of the interval type-2 fuzzy systems with several system performance indexes Provides numerous simulation results for various examples, which fill certain gaps in this area of reach and may serve as benchmark solutions for the readers This book develops a set of reference methods capable of modeling uncertainties existing in membership functions, and analyzing and synthesizing the interval type-2 fuzzy systems with desired performances. It also provides numerous simulation results for various examples, which fill certain gaps in this area of research and may serve as benchmark solutions for the readers. Interval type-2 T-S fuzzy models provide a convenient and flexible method for analysis and synthesis of complex nonlinear systems with uncertainties. Number of Illustrations and Tables 5 b/w illustrations, 55 illustrations in colour Topics Computational Intelligence Systems Theory, Control Nonlinear Dynamics Control