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研究生: 陳昆助
Chen, Kun-Chu
論文名稱: μ-合成系統的最大結構奇異值上界之數值估算
Numerical Algorithms for Estimating Upper Bounds of the Largest Structured Singular Value in a μ-Synthesis System
指導教授: 王辰樹
Wang, Chern-Shuh
學位類別: 博士
Doctor
系所名稱: 理學院 - 數學系應用數學碩博士班
Department of Mathematics
論文出版年: 2007
畢業學年度: 95
語文別: 英文
論文頁數: 52
中文關鍵詞: 結構控制上界牛頓
外文關鍵詞: Structured Singular Value, Upper Bound, Robust Stability
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  • 在本論文中,我們提出求最大結構奇異值上界的演算法,此演算法在μ-合成控制問題裡扮演著重要角色。如文獻所記載,求最大結構的奇異值是 NP-hard之問題,因此我們在這篇論文中專注於求最大結構奇異值之上界。我們發展出一個牛頓型態之演算法,也推導一些和演算法有關的理論。從數值結果說明這新開發出來的演算法是個有效的演算法。

    In this dissertation, numerical algorithms for the computation of an upper bound of the largest structured singular value which always plays a key role to the μ-synthesis control problem are proposed. As shown in literatures the computations for the largest structured singular value is an NP-hard problem. We hence concentrate on the study for computing an upper bound of the largest structured singular value in this dissertation. A Newton’s type algorithm is developed. Some related theoretical results of the algorithm are investigated. Numerical implementation shows the efficiency of the new developed algorithm.

    1 Introduction 2 2 Preliminaries and Problem Description 6 3 Algorithm Development 12 3.1 Higher Dimensional Bisection Method 12 3.2 Newton’s Method and Its Related Theoretical Results 17 3.3 Newton’s Method 23 3.4 Quasi-Newton’s Method 30 4 Numerical Implementation 32 5 Conclusion 47

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