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URN etd-0826108-173910 Statistics This thesis had been viewed 3083 times. Download 1371 times. Author Kai-Chih Ko Author's Email Address No Public. Department Electrical Engineering Year 2007 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 42 Title INDIRECT ADAPTIVE CONTROL DESIGN FOR A CLASS OF T-S FUZZY BILINEAR SYSTEMS Keyword online estimation fuzzy model fuzzy control adaptive control bilinear system bilinear system adaptive control fuzzy control fuzzy model online estimation Abstract In this paper, an indirect adaptive fuzzy control scheme for a class of nonlinear systems is proposed. The Takagi-Sugeno (T-S) fuzzy bilinear model is used for representing a nonlinear system, where the parameters of the fuzzy model are obtained both from the fuzzy rules and online updating according to Lyapunov stability theorem. The control objective is to design adaptive fuzzy controller and adaptive laws such that the overall T-S fuzzy bilinear model based indirect adaptive fuzzy control system is stabilized and the output is forced to follow the desired reference input. A numerical example is used to illustrate the effectiveness of the proposed method. The simulation can prove the validity of the proposed scheme and achieve satisfy simulation results. Advisor Committee Chung-Chun Kung - advisor
Chiang-Cheng Chiang - co-chair
Ching-Chang Wong - co-chair
Files Date of Defense 2008-07-31 Date of Submission 2008-08-26