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The defense date of the thesis is 2007-07-20
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URN etd-0717107-212605 Statistics This thesis had been viewed 2003 times. Download 15 times. Author Ming-Chieh Shih Author's Email Address No Public. Department Electrical Engineering Year 2006 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 45 Title OUTPUT TRACKING CONTROL FOR A CLASS OF PERTURBED STRICT-FEEDBACK NONLINEAR SYSTEMS USING ROBUST ADAPTIVE FUZZY CONTROL APPROACH Keyword ROBUST STRICT-FEEDBACK FUZZY ADAPTIVE ADAPTIVE FUZZY STRICT-FEEDBACK ROBUST Abstract In this thesis, robust adaptive fuzzy control and robust adaptive fuzzy sliding mode control schemes are proposed to deal with the tracking control problem of a class of single-input single-output (SISO) nonlinear perturbed strict-feedback systems in the presence of parametric uncertainties. It is well-known that the presence of perturbations is a very common problem in various kinds of engineering systems, and these perturbations involve unmodelled dynamics, external disturbances and time variations. Because of the complexity of structure of the perturbations, the upper bounds of these perturbations are often difficult to be obtained. Therefore, within these above-mentioned approaches, fuzzy logic systems and adaptive laws are applied to approximate the upper bounds of the perturbations. By introducing Lyapunov stability theorem as well as the theory of variable structure control, the robust stability of the overall closed-loop system can be ensured, and good tracking performance can be also obtained at the same time. Finally, two simulation examples are demonstrated to confirm the effectiveness and the feasibility of the proposed control schemes. Advisor Committee Chiang-Cheng Chiang - advisor
Files Date of Defense 2007-06-26 Date of Submission 2007-07-20