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 在這篇論文中，對於某一類的非線性系統提出一個間接適應模糊控制的架構。Takagi-Sugeno 模糊雙線性模型用於描述一個非線性系統，而當中的模糊模型與系統參數是經由模糊規則和線上更新並根據李亞普諾夫穩定性定理來獲得。本文希望設計ㄧ適應模糊控制器以及參數更新法則，透過T-S模糊雙線性模型和間接適應模糊控制的穩定準則，能夠使輸出可以追蹤到所設計出的期望參考輸入。我們將以一個數值的模擬來驗證本文所提出之設計法則的成效。而模擬的例子可以用來驗證本文所提出的方法正確定及結果。
 In this paper, an indirect adaptive fuzzy control scheme for a class of nonlinear systems is proposed. The Takagi-Sugeno (T-S) fuzzy bilinear model is used for representing a nonlinear system, where the parameters of the fuzzy model are obtained both from the fuzzy rules and online updating according to Lyapunov stability theorem. The control objective is to design adaptive fuzzy controller and adaptive laws such that the overall T-S fuzzy bilinear model based indirect adaptive fuzzy control system is stabilized and the output is forced to follow the desired reference input. A numerical example is used to illustrate the effectiveness of the proposed method. The simulation can prove the validity of the proposed scheme and achieve satisfy simulation results.
 ACKNOWLEDGEMENTS IABSTRACT (IN ENGLISH) IIABSTRACT (IN CHINESE) IIITABLE OF CONTENTS IVLIST OF FIGURES VCHAPTER1 INTRODUCTION 12 PROBLEM FORMULATION 4 2.1 Parameter Estimator Design 5 2.2 Adaptive Fuzzy Controller Design 63 ANALYSIS OF SYSTEM STABILITY 104 SIMULATION RESULTS 165 CONCLUSION 31REFERENCES 32