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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72416


    Title: 模糊系統H∞靜態輸出回授控制器設計─齊次多項式尤拉法;H∞ Static Output Feedback Controller Design of Fuzzy Systems Via Homogeneous Euler′s Method
    Authors: 劉鎔維;Liu,Jung-Wei
    Contributors: 機械工程學系
    Keywords: 非二次穩定;平方和;Takagi-Sugeno模糊系統;尤拉齊次多項式定理;H∞狀態回授控制;H∞靜態輸出回授控制;non-quadratic stability;sum of squares;T-S fuzzy systems;Euler′s Theorem for Homogeneous Function;H∞ state feedback control;H∞ static output feedback control
    Date: 2016-07-28
    Issue Date: 2016-10-13 14:53:52 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本論文主要研究連續模糊系統之靜態輸出回授控制器設計,使用
    非二次李亞普諾夫函數(non-quadratic Lyapunov function) 及其對時間的變化率做為穩定的條件, 並滿足H1 性能指標。本論文分為兩個步驟設計靜態輸出回授控制器,步驟一: 求得狀態回授增益,使用二
    次李亞普諾夫函數(quadratic Lyapunov function) ,步驟二: 求解靜態輸出回授增益, 使用非二次李亞普諾夫函數(non-quadratic Lyapunov function),其中以尤拉齊次多項式定理建立非二次李亞普諾夫函數(non-quadratic Lyapunov function),其形式為
    V (x) = x′P(x)x = 1/(g(g-1))x′∇xxV (x)x。
    電腦模擬方面以平方和方法(Sum-of-Squares) 來檢驗模糊系統的
    穩定條件,並設計出狀態回授控制器以及靜態輸出回授控制器。;The main contribution in this thesis is static output feedback controller
    design of H1 continuous fuzzy system. And we can solve the inequalities derived from non-quadratic Lyapunov function and its time gradient. It’s a two-step procedure for solving output feedback control gain, step 1: solve for state feedback gain (for common P theorem), step 2: solve for static output feedback gain (for homogeneous polynomial P(x) theorem). A non-quadratic Lyapunov function derived from
    Euler’s homogeneous polynomial theorem has following form
    V (x) = x′P(x)x = 1/(g(g-1))x′∇xxV (x)x。
    In numerical simulation, we solve for state feedback gain first and then solve for static output feedback gain with sum-of-squares approach.
    Appears in Collections:[機械工程研究所] 博碩士論文

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