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URN etd-1231108-132409 Statistics This thesis had been viewed 3130 times. Download 1462 times. Author Kai-Hsiang Chang Author's Email Address No Public. Department Electrical Engineering Year 2008 Semester 1 Degree Master Type of Document Master's Thesis Language English Page Count 71 Title DESIGN OF ROBUST ADAPTIVE FUZZY CONTROLLER FOR UNCERTAIN NONLINEAR TIME-DELAY PLANTS WITH UNKNOWN DEAD-ZONE Keyword Time-Delay Dead-Zone Robust Control Adaptive Control Fuzzy Control Nonlinear System Nonlinear System Fuzzy Control Adaptive Control Robust Control Dead-Zone Time-Delay Abstract A robust adaptive fuzzy control framework is proposed in this thesis for a class of uncertain nonlinear time-delay systems containing an unknown dead-zone. It is well known that dead-zone characteristics and time-delay are frequently encountered in various engineering systems such as servo control system and micro positioning systems. For many of these systems, the performance is limited by dead-zone in the actuator. Generally, the dead-zone characteristics are usually poorly known and time-variant. Moreover, the existence of time-delay is frequently a source of instability in the real systems. Hence, the problem of stability analysis of time delay nonlinear systems with a dead zone has been one of the most important topic for the control design engineer. According to some adaptive laws, the unknown nonlinear functions of the plant are approximated by the fuzzy logic system. Based on Lyapunov stability theorem, the presented robust adaptive fuzzy control framework can not only guarantee the robust stability of the overall closed-loop nonlinear time-delay system containing an unknown dead-zone in the actuator but also obtain good tracking performance as well. Eventually, some illustrative examples are given to verify the validity of the developed controller. Advisor Committee Chiang-Cheng Chiang - advisor
none - co-chair
none - co-chair
Files Date of Defense 2008-11-11 Date of Submission 2008-12-31