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URN etd-0713105-150405 Statistics This thesis had been viewed 2544 times. Download 1245 times. Author Tsung-han Lee Author's Email Address firstname.lastname@example.org Department Electrical Engineering Year 2004 Semester 2 Degree Master Type of Document Master's Thesis Language English Page Count 47 Title DESIGN OF FUZZY-MODEL-BASED CONTROLLER FOR UNCERTAIN NONLINEAR SYSTEMS WITH STATE AND INPUT DELAYS Keyword slinding mode control slinding mode control Abstract In this thesis, the control design problem of a class of nonlinear systems with state and input delays in the presence of unmatched parametric uncertainties is investigated. The uncertainties are time-varying and bounded. It is well-known that the existence of time delays and uncertainties is common in various engineering systems. Based on the Lyapunov stability theorem and the concept of functional analysis, two different design methods are proposed in this thesis for the robust control of the above-mentioned uncertain nonlinear systems. T-S fuzzy models give an effective method to represent complex nonlinear systems by fuzzy sets and fuzzy reasoning. First, based on variable structure control, a fuzzy sliding mode controller with an integral function is designed to eliminate the steady-state error. Next, while the time-varying uncertainties satisfy some structure constrains, another robust fuzzy controller in terms of linear matrix inequalities (LMIs) is presented to guarantee the stability of the whole closed-loop systems with time delays and uncertainties. Finally, several examples and simulation results are performed in support of the suggested control schemes. Advisor Committee Prof. Chiang-cheng Chiang - advisor
none - co-chair
Prof. Chung-chun Kung - co-chair
Files Date of Defense 2005-07-06 Date of Submission 2005-07-13