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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/30834


    Title: Deadzone compensation based on constrained RBF neural network
    Authors: Tsai,CH;Chuang,HT
    Contributors: 機械工程研究所
    Keywords: LEAST-SQUARES;SYSTEMS;IDENTIFICATION;CONVERGENCE;FEEDFORWARD;ALGORITHM
    Date: 2004
    Issue Date: 2010-07-06 16:28:25 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper, a modified adaptive neural network for the compensation of deadzone is described, and simulated on a hydraulic positioning system, in which the dynamic model is separated into a series of connection of a nonlinear (deadzone) subsystem and a
    Relation: JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
    Appears in Collections:[機械工程研究所] 期刊論文

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