| Summary: | 碩士 === 國立高雄應用科技大學 === 機械與精密工程研究所 === 97 === In this thesis, we present an integrative algorithm to analyze the static output feedback for the TS-fuzzy-model-based control systems with uncertain parameters is our objective. By combining the TS fuzzy model with robust stable conditions, and the quadratic finite-horizon integral performance, we can design a robust optimum controller with the orthogonal function method and hybrid Taguchi genetic algorithm.
First, nonlinear control systems are transformed TS fuzzy rules into a fuzzy linear dynamic models, then, three robust stability conditions are proposed and combined with the quadratic integral performance index to achieve the optimal control. Next we use hybrid Taguchi genetic algorithm to search the robust optimal controller. Finally, we compare the conservation of these three robust stability condition for validating our proposed approach.
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