English  |  正體中文  |  简体中文  |  Items with full text/Total items : 70585/70585 (100%)
Visitors : 23206329      Online Users : 548
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/57400


    Title: T-S模糊系統的控制器設計及各種穩定條件放寬之研究(I);Fuzzy Controller Design and Various Relaxed Stability Criteria for T-S Fuzzy Systems(I)
    Authors: 鍾鴻源
    Contributors: 中央大學電機工程學系
    Keywords: 電子電機工程類;T-S 模糊系統;離散時間;模糊區域概念;線性矩陣不等式(LMI);分段Lyapunov穩定準則;兩次式Lyapunov 函數 T-S fuzzy system;Discrete time;Fuzzy region concept;Linear Matrix Inequality(LMI);Piecewise Lyapunov stability criterion;Quadratic Lyapunov functions
    Date: 2008-09-01
    Issue Date: 2012-10-01 15:20:01 (UTC+8)
    Publisher: 行政院國家科學委員會
    Abstract: 在許多文獻中,處理非線性系統問題通常都是利用描述成Takagi-Sugeno (T-S) 模糊模組的型式來做探討。模糊控制器設計方法大多採用平行分配補償 (Parallel Distributed Compensation - PDC) 之設計觀念並使用里阿伯諾 (Lyapunov) 穩定法則來做此類系統的穩定性分析。不過,當T-S 模糊系統所包含大量的模糊規則數,轉換後的LMI 總數目也急遽增加。在此情況下,找到一個共同正定矩陣來滿足系統之穩定條件是很難的,也導致LMI 演算法之無解機率大幅提高。依照上述的困難點,吾人瞭解問題的癥結所在,於是本計畫嘗試處理非線性系統之穩定性問題呈現於模糊區域系統 (Fuzzy Region System)上。本計畫第一個方向是想使用模糊區域概念設計模糊控制器,並結合分段式里阿伯諾(Lyapunov)穩定準則來達成∞ H 控制性能。另外一個方面討論離散的T-S 模糊系統的穩定度,利用混合型的特徵值來取代混合型的權重,透過根軌跡的作圖觀念及Jury test 即可判斷T-S 模糊系統的穩定度,且其穩定度的判斷比傳統二次式Lyapunov 函數較容易處理與求得。於此,本計畫利用分段里阿伯諾穩定準則只需求出各區域裡的個別正定矩陣,及利用古典控制法則加入模糊系統分析,如此便可使判定方法的保守性降低。本計畫提出的控制準則成功地以簡單的想法、清楚的數學推導處理模糊區域之穩定性問題。 ; Nonlinear systems have been described by Takagi-Sugeno (T-S) fuzzy model in many literatures. Parallel Distributed Compensation (PDC) is a popular concept to design T-S fuzzy controller and Lyapunov criterion is a familiar method to analyze its stability. However, these Linear Matrix Inequalities (LMIs) are greatly increased if the T-S fuzzy model contains lots of plant rules. It is difficult to find a common Lyapunov matrix to achieve system stability. The problems aforementioned are some of the problems we have to handle. This project deals with various stability criterions in the T-S fuzzy region system. One of our projects utilizes the fuzzy region concept to design a new fuzzy controller with ∞ H performance derived from the piecewise Lyapunov stability criterion. In addition, another approach is proposed to search for eigenvalues of T-S fuzzy model in any mixed weighting cases. This systematic method is developed by well-known Jury’s test and the root locus to determine the stability. Furthermore the root locus is also able to realize the transient response for a T-S fuzzy model. The Lyapunov matrix P is a sufficient condition but not a necessary condition for the stability of T-S fuzzy systems. Hence, an effective way will be explored to ensure the stability of the system. Therefore, the proposed conditions are less conservative than past works. This project tackles the problem of a state feedback fuzzy regional control with a simple idea and clear mathematical derivations. ; 研究期間 9708 ~ 9807
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[電機工程學系] 研究計畫

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML214View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明