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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/98862

    題名: Fuzzy-identification-based adaptive backstepping control using a self-organizing fuzzy system
    作者: Chen, Pin-Cheng;Hsu, Chun-Fei;Lee, Tsu-Tian;Wang, Chi-Hsu
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Adaptive control;Backstepping control;Chaotic dynamic system;Self-organizing fuzzy system;Structure adaptation
    日期: 2009-05
    上傳時間: 2014-09-24 09:55:51 (UTC+8)
    出版者: Heidelberg: Springer
    摘要: In this paper, a fuzzy-identification-based adaptive backstepping control (FABC) scheme is proposed. The FABC system is composed of a backstepping controller and a robust controller. The backstepping controller, which uses a self-organizing fuzzy system (SFS) with the structure and parameter learning phases to on-line estimate the controlled system dynamics, is the principal controller, and the robust controller is designed to dispel the effect of approximation error introduced by the SFS. The developed SFS automatically generates and prunes the fuzzy rules by the proposed structure adaptation algorithm and the parameters of the fuzzy rules and membership functions tunes on-line in the Lyapunov sense. Thus, the overall closed-loop FABC system can guarantee that the tracking error and parameter estimation error are uniformly ultimately bounded; and the tracking error converges to a desired small neighborhood around zero. Finally, the proposed FABC system is applied to a chaotic dynamic system to show its effectiveness. The simulation results verify that the proposed FABC system can achieve favorable tracking performance even with unknown controlled system dynamics.
    關聯: Soft Computing 13(7), pp.635-647
    DOI: 10.1007/s00500-008-0370-4
    顯示於類別:[電機工程學系暨研究所] 期刊論文


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