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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/110361

    Title: Emotional fuzzy sliding-mode control for unknown nonlinear systems
    Authors: Chun-Fei Hsu;Tsu-Tian Lee
    Keywords: Brain emotional learning model;Fuzzy control;Structure learning;Parameter learning;System sensitivity term
    Date: 2017-06-01
    Issue Date: 2017-06-09 02:10:35 (UTC+8)
    Abstract: The main contributions of this paper are: (1) the FELM varies its structure dynamically with a simple computation; (2) the parameter learning imitates the role of emotions in mammalians brain; (3) by combining the advantage of nonsingular terminal sliding-mode control, the EFSMC system provides very high precision and finite-time control performance; (4) the system analysis is given in the sense of the gradient descent method.
    Relation: International Journal of Fuzzy Systems 19(3), p.942–953
    DOI: 10.1007/s40815-016-0216-7
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

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