臺灣博碩士論文加值系統

本篇論文研究針對一類具有輸入飽和的不確定非線性系統之事件觸發強健適應模糊控制問題。在這個方法中，模糊邏輯系統分別被用於近似系統中未知非線性函數以及未匹配不確定性的上界。透過狀態濾波器，一個狀態觀察器被設計來解決系統中狀態無法被測量的問題。此外，在許多實際工業控制系統中經常出現飽和輸入，這是最重要的輸入限制之一。基於李亞普諾夫穩定理論，所提出的控制器不僅確保閉迴路系統中所有信號都是有界的，而且實現了輸出追蹤性能。最後，本篇論文提出一些模擬結果來證實所提出控制器的有效性。

The thesis investigates the problem of event-triggered robust adaptive fuzzy control for uncertain nonlinear systems with input saturation. Within this method, fuzzy logic systems are used to approximate unknown nonlinear function of the system and the upper bounds of unmatched uncertainties, respectively. The event-triggering mechanism (ETM) is used to reduce communication burden. By the state variable filters, a state observer is constructed to solve the problem of unmeasured sates. Moreover, input saturation usually exists in many practical industrial control systems, which is one of the most important input constraints. Based on Lyapunov stability theorem, the proposed controller can not only guarantee that all the signals in the close-loop systems are bounded, but also achieve the output tracking performance. Finally, some simulation results are provided to confirm the effectiveness of the proposed controller.

Table of Contents
Acknowledgments I
English Abstract II
Chinese Abstract III
Table of Contents IV
List of Figures V
Chapter
I. Introduction 1
II. Problem Statement and Preliminaries 3
2.1 System Description 3
2.2 Description of Fuzzy Logic Systems 8
III. Observer-Based Event-Triggered Robust Adaptive Fuzzy Controller Design and Stability Analysis 10
3.1 Design of the Event-Triggered controller 10
3.2 ETM Design 16
IV. Results of Simulation 36
V. Conclusion 43
References 44

References
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