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URN etd-0713105-151333 Statistics This thesis had been viewed 2606 times. Download 1433 times. Author Chih-chin Yang Author's Email Address email@example.com Department Electrical Engineering Year 2004 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 49 Title ADAOTIVE FUZZY MODELING CONTROL OF UNCERTAIN NONLINEAR SYSTEMS WITH AN UNKNOWN DEAD-ZONE Keyword variable structure control robust adaptive fuzzy control nonlinear system Lyapunov stability theorem dead-zone dead-zone Lyapunov stability theorem nonlinear system robust adaptive fuzzy control variable structure control Abstract In this thesis, a robust adaptive fuzzy control scheme is proposed for a class of uncertain nonlinear systems preceded by an unknown dead-zone. Dead-zone characteristics are quite commonly encountered in actuators, such as hydraulic and pneumatic valves, electric servomotors, and electronic circuits, etc. Therefore, by using a description of a dead-zone and exploring the properties of this dead-zone model intuitively and mathematically, a robust adaptive fuzzy control method is presented without constructing the dead-zone inverse. The unknown nonlinear functions of the plant are approximated by the fuzzy logic system according to some adaptive laws. Based on Lyapunov stability theorem and the theory of variable structure control, the proposed robust adaptive fuzzy sliding mode control scheme can guarantee the robust stability of the whole closed-loop system with an unknown dead-zone in the actuator and obtain good tracking performance as well. Finally, some examples and simulation results are provided to illustrate the versatility and performance of the proposed method. Advisor Committee Chiang-cheng Chiang - advisor
Chung-chun Kung - co-chair
none - co-chair
Files Date of Defense 2005-07-06 Date of Submission 2005-07-13