臺灣博碩士論文加值系統

本論文是探討分散式適應模糊積分形式可變結構控制器設計，此控制器是針對一個大型系統具有未知的非線性函數所設計。首先，利用模糊系統的特性來敘述大型系統內部的未知函數。再藉由狀態觀測器作為追蹤誤差向量。由於模糊系統與狀態觀測器，一個具有積分項的分散式可變結構控制器來確保追蹤效能。而所設計的適應法則會調節模糊系統的參數。根據Lyapunov穩定度定理，會證實大型系統的穩定度。此外，所設計的控制系統使全部的訊號達到理想追蹤效能和有界。最後，會以兩個例子來驗證本文所提出控制器對此系統的有效性。

This thesis investigates a decentralized adaptive fuzzy integral variable structure control law, and it is proposed for a class of unknown nonlinear large-scale system (LSS) that not all the states are available for measurement. First, the fuzzy models for describing the unknown function of the large-scale system. Next, by designing the state observer, it is used to be tracking error vector. Based on the fuzzy model and state observer, a decentralized integral variable structure control is developed for guaranteeing the tracking performance. Then, the adaptive laws for adjusting the parameters of the fuzzy models can be designed. The stability of the large-scale system can be verified by Lyapunov stability theorem. Moreover, the proposed overall control schemes guarantee that all the signals are bounded and achieve the desired tracking performance. Finally, two examples is given to illustrate the control synthesis and its effectiveness.

ACKNOWLEDGEMENTS
ABSTRACT (IN ENGLISH)
ABSTRACT (IN CHINESE)
TABLE OF CONTENTS
LIST OF FIGURES
CHAPTER
1 INTRODUCTION
2 SYSTEM DESCRIPTION
3 DESIGN OF DECENTRALIZED ADAPTIVE FUZZY INTEGRAL VARIABLE
STRUCTURE CONTROLLER
3.1 Design of Decentralized Integral Variable Structure Controller
3.2 Design of Fuzzy logic System
3.3 Decentralized Adaptive Fuzzy Integral Variable Structure
Control
4 SIMULATION RESULTS
5 CONCLUTIONS
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