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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/33979


    Title: Adaptive CMAC neural control of Chaotic systems with a PI-type learning algorithm
    Authors: 許駿飛
    Hsu, Chun-Fei
    Contributors: 電機工程學系
    Electrical Engineering
    Keywords: Adaptive control;CMAC;Uniformly ultimately bounded;Chaotic system
    Date: 2009
    Issue Date: 2014-06-27 02:36:16 (UTC+8)
    Abstract: The cerebellar model articulation controller (CMAC) has the advantages such as fast learning property, good generalization capability and information storing ability. Based on these advantages, this paper proposes an adaptive CMAC neural control (ACNC) sy
    Appears in Collections:[Department of Electrical Engineering] Journal Articles

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