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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/35888

    Title: 嵌設有NM區域搜尋法之粒子群聚最佳化法及其在不確定間隔系統數位化再設計之應用
    Other Titles: Hybrid particle swarm optimizers incorporating an enhanced nm simplex search method and their applications in the digital redesign of uncertain interval systems
    Authors: 高春暉;Gao, Chun-hui
    Contributors: 淡江大學電機工程學系碩士班
    許陳鑑;Hsu, Chen-chien
    Keywords: 粒子群聚最佳化法;NM單體搜尋法;中心粒子群聚演算法;不確定間隔系統;數位化再設計;particle swarm optimization;Nelder-Mead simplex search method;center particle swarm optimization;uncertain interval systems;digital redesign
    Date: 2008
    Issue Date: 2010-01-11 07:16:42 (UTC+8)
    Abstract: 本文提出兩種以粒子群聚最佳化法為基礎之混合式演算法,分別與NM單體搜尋法(NM-PSO)以及中心粒子群聚演算法(NM-PSO-C)做結合,針對多階最佳化問題找到最有可能的全域最佳解。
    This paper proposes hybrid optimization approaches incorporating particle swarm optimization with the use of a center particle in a swarm and an enhanced Nelder-Mead simplex search method to solve multi-dimensional optimization problems.

    Thanks to the performance of the proposed optimizer, PSO-based approaches are presented to derive optimal digital controllers for uncertain interval systems based on resemblance of extremal gain/phase margins (GM/PM) and frequency-response, respectively. By combining the uncertain plant and controller, extremal systems of the redesigned digital system having an interval plant and its continuous counterpart can be obtained as the basis for comparison. The design problem is then formulated as an optimization problem of an aggregated error function in terms of deviation on extremal GM/PM and frequency-response between the redesigned digital system and its continuous counterpart, and subsequently optimized by the proposed optimizer to obtain an optimal set of parameters for the digital controller.
    Appears in Collections:[Graduate Institute & Department of Electrical Engineering] Thesis

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