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URN etd-0717107-161950 Statistics This thesis had been viewed 2808 times. Download 939 times. Author Jyun-kun Chen Author's Email Address firstname.lastname@example.org Department Electrical Engineering Year 2006 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 55 Title ROBUST ADAPTIVE FUZZY CONTROL OF PLANTS WITH AN UNKNOWN DEAD-ZONE AND UNMATCHED
Keyword dead-zone nonlinear systems nonlinear systems dead-zone Abstract A robust adaptive fuzzy control algorithm is proposed in this thesis for a class of nonlinear systems with unknown dead-zones and unmatched uncertainties. Dead-zone characteristics are quite commonly encountered in actuators, such as piezoelectric transducers, hydraulic valves and pneumatic valves. Therefore, in addition to the uncertainties in this system, controllers are often required to adapt the unknown dead-zone uncertainties. Moreover, the original nonlinear system dynamics can be transformed into an equivalent system by means of the concept of Lie derivative. According to the robust adaptive control theorem with fuzzy approximate method and Lyapunov stability theorem, the proposed robust adaptive control scheme can not only guarantee the robust stability of the whole closed-loop system with unknown dead-zones but also obtain good tracking performance. Finally, two examples and simulation results are presented to validate the effectiveness of the proposed method. Advisor Committee Chiang-Cheng Chiang - advisor
Files Date of Defense 2007-06-26 Date of Submission 2007-07-23