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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/32102


    Title: Self-constructing Sugeno type adaptive fuzzy neural network for two-axis motion control system
    Authors: Lin,Faa-Jeng;Chou,Po-Huan
    Contributors: 電機工程研究所
    Keywords: POSITION CONTROL;MOTOR DRIVE;TABLE;IDENTIFICATION;COMPENSATION;SERVO
    Date: 2007
    Issue Date: 2010-07-06 18:18:39 (UTC+8)
    Publisher: 中央大學
    Abstract: A self-constructing Sugeno type adaptive fuzzy neural network (SAFNN) control system is proposed in this Study for the contour tracking control of a two-axis motion control system. The adopted two-axis motion control system is composed of two permanent ma
    Relation: JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
    Appears in Collections:[電機工程研究所] 期刊論文

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