English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 78818/78818 (100%)
造訪人次 : 34729091      線上人數 : 840
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋


    請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/50162


    題名: Studies on linear matrix inequality relaxations for fuzzy control systems via homogeneous polynomials
    作者: Lo,JC;Wan,JR
    貢獻者: 機械工程學系
    關鍵詞: DEPENDENT LYAPUNOV FUNCTIONS;NONLINEAR-SYSTEMS;LMI CONDITIONS;STABILIZATION CONDITIONS;QUADRATIC STABILITY;ROBUST STABILITY;OBSERVERS;DESIGNS;THEOREM;FORM
    日期: 2010
    上傳時間: 2012-03-27 17:05:03 (UTC+8)
    出版者: 國立中央大學
    摘要: In this study, the authors investigate a relaxed condition characterised by parameter-dependent linear matrix inequality (PD-LMI) in terms of firing strength belonging to the unit simplex, exploiting the algebraic property of Polya's theorem to construct a family of finite-dimensional LMI relaxations. The main contribution of this study is that sets of relaxed LMI are parameterised in terms of the polynomial degree d. As d increases, progressively less conservative LMI conditions are generated, being easier satisfied owing to more freedom provided by new variables involved. Another protruding feature is that a verifiable necessary condition is derived. Furthermore, the new relaxation results for PD-LMI is shown to include and generalise all previous results on quadratic (common P) stability approach. Lastly, numerical experiments for illustrating the advantage of relaxation, being less conservative and effective, are provided.
    關聯: IET CONTROL THEORY AND APPLICATIONS
    顯示於類別:[機械工程學系] 期刊論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML313檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    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 ©   - 隱私權政策聲明