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URN etd-0717106-172253 Statistics This thesis had been viewed 3230 times. Download 1217 times. Author Shuo-chieh Chang Author's Email Address No Public. Department Electrical Engineering Year 2005 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 39 Title MODEL REFERENCE ADAPTIVE FUZZY SLIDING MODE CONTROL OF TIME-DELAY UNCERTAIN NONLINEAR SYSTEMS WITH INPUT CONTAINING SECTOR NONLINEARITIES AND DEAD-ZONE Keyword Sliding mode control Deadzone Adaptive fuzzy control Adaptive fuzzy control Deadzone Sliding mode control Abstract In this thesis, a model reference adaptive fuzzy sliding mode control (MRAFSMC) design for a class of time-delay uncertain nonlinear systems with input containing sector nonlinearities and dead-zone is investigated. First, the fuzzy logic systems are applied to estimate the boundary of the lumped uncertainties. Next, based on the Lyapunov stability theorem, a MRAFSMC law to solve the control problem is proposed. Moreover, the chattering around the sliding hyperplane in the sliding mode control (SMC) can be reduced by the proposed design approach. The proposed strategy not only possesses the advantages of SMC and adaptive fuzzy control, but also eliminates the disadvantage of traditional SMC. A numerical example is given to illustrate the feasibility of the proposed control strategy. Advisor Committee Chung-chun Kung - advisor
Chiang-cheng Chiang - co-chair
Ti-hung Chen - co-chair
Files Date of Defense 2006-07-10 Date of Submission 2006-07-17