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姓名 駱樂( Luoh Leh)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 模糊控制系統的穩定性分析及設計
(Stability Analysis and Design for Fuzzy Control Systems)
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摘要(英) Moreover, this dissertation also investigates an alternative stabilization for T-S fuzzy control system. Based on the T-S model in phase-variable canonical form, one can design the T-S fuzzy control system to fulfill different specification in different operating region. In the meantime, the existing common P problem in the T-S fuzzy system may just satisfy partial number of Lyapunov equations but not all Lyapunov equations. Hence, the stability of the T-S fuzzy control system can be guaranteed much easier.
Furthermore, the fuzzy logic control design strategy is applied to the complex fuzzy large-scale systems. After choosing some operating point, the fuzzy large-scale systems is first decomposed by the T-S fuzzy model. Accordingly, some sufficient conditions are constructed for ensuring the stability of the global fuzzy system. The demanding for an exact model in traditional control strategy is then resolved.
Several illustrative examples and simulations are used to demonstrate that the proposed approaches are effective and workable. Besides, the designing procedure for the T-S fuzzy system is systematic and simplified.
關鍵字(中) ★ 李亞普若夫穩定法則
★ 控制器設計
★ 穩定性分析
★ 模糊控制系統
★ 模糊大型系統
★ 最佳控制
關鍵字(英) ★ Lyapunov Stability Criteria
★ Controller Design
★ Stability Analysis
★ Fuzzy Control Systems
★ Fuzzy Large-Scale System
★ Optimal Control
論文目次 封面
摘要
第一章 緒論
第二章 以T-S模式為基礎的模糊控制
第三章 T-S模糊系統的穩定性分析-強健控制處理法
第四章 T-S模糊控制系統穩定分析及設計-LQ控制處理法
第五章 模糊大型系統的穩定性分析及設計
第六章 模糊控制系統性能的改善
第七章 結論
Abstract
Nomenclature
List of Figures
List of Tables
Chapter 1 Introduction
1.1 Motviation and Background
1.2 Review of Previous Works
1.3 Purpose and Contribution
1.4 Organization of the Dissertation
Chapter 2 Problem Formulation
2.1 Model-based Fuzzy Control
2.2 T-S fuzzy model and the stability conditions
2.2.1 T-S fuzzy contiunous model and PDC methodology
2.2.2 T-S fuzzy discrete model
2.3 The existing common P problem and some important properties
2.4 Summary
Chapter 3 Stability Analysis of T-S Fuzz Systems via Robustness Criterion
3.1 Introduction
3.2 Preliminary
3.2.1 Stability Analysis of Linear Perturbated System
3.2.2 Stability Analysis of Linear Perturbated Control System
3.3 Main Results
3.3.1 Stability Analysis of T-S Fuzzy Systems via Robustness Criteria
3.3.2 Stability Abalysis of T-S Fuzzy Systems via Relaxed Robustness criteria
3.4 Illustrative Example and Simulation
3.5 Summary
Chapter 4 Stability Analysis and Optimal Design of T-S Fuzzy Control Systems
4.1 Introduction
4.2 Preliminary
4.2.1 System with Linear Quadratic State Controller
4.2.2 Robustness of System with Linear Quadratic State Controller
4.3 Main Results
4.3.1 Stability Analysis of T-S Fuzzy Control System via State Feedback
4.3.2 Stability Analysis of T-S Fuzzy Control System via LQ control
4.4 Illustrative Example and Simulation
4.5 Summary
Chapter 5 Stabilization Design for Complex Fuzzy Large-Scale Systems
5.1 Introduction
5.2 Preliminary
5.3 Main Results
5.4 Illustrative Example and Simulation
5.5 Summary
Chapter 6 Alternative Stabilization Desig for Fuzzy Control System
6.1 Introduction
6.2 Preliminary
6.3 Main Results
6.4 Illustrative Example and Simulation
6.5 Summary
Chapter 7 Conclusions
References
Author's Information
Publication List
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指導教授 王文俊(Wen-June Wang) 審核日期 2001-7-16
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