| Summary: | 碩士 === 大同大學 === 電機工程學系(所) === 94 === This thesis deals with the stabilization problem for the fuzzy stochastic uncertain large-scale system in which the system is composed of a number of Takagi-Sugeno fuzzy model subsystems with interconnections. We represent a nonlinear plant with a Takagi-Sugeno fuzzy model that provides an effective method to represent complex nonlinear systems by fuzzy sets and fuzzy reasoning. Based on the Lyapunov stability theorem and the theory of the steady state covariance control, two feasible and effective approaches to the robust control problem of the stochastic uncertain large-scale systems are developed in this thesis. First, according to the robustness property of variable structure control, a fuzzy sliding mode controller with an integral function is designed such that the reference model input and the plant error term disappear on the sliding mode. Next, by assigning a common positive definite covariance matrix, the fuzzy state feedback controller can be developed by solving the corresponding state feedback gains such that the robust stability of the T-S fuzzy stochastic uncertain large-scale systems can be guaranteed. Finally, a numerical example is given to demonstrate the validity of the proposed two controllers in this thesis.
|
|---|
