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    Results 231-240 of 11656.

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    231A receding horizon control for linear system subjected to input magnitude and rate saturations

    田豐; Tyan, Feng2003-07
    [Graduate Institute & Department of Aerospace Engineering] Proceeding
    International Conference on Computer, Communication and Control Technologies (CCCT '03)
    淡江大學航空太空工程學系 田豐 Tyan, Feng A receding horizon control for linear system subjected to input magnitude and rate saturations 2003-07 en International

    232SDRE飛彈導引律

    田豐2010
    [Graduate Institute & Department of Aerospace Engineering] Proceeding
    Control and Automation (ICCA), 2010 8th IEEE International Conference on
    淡江大學航空太空工程學系 田豐 IEEE Control Systems Chapter (Singapore and China)。 SDRE飛彈導引律 2010 zh_TW Control and Automation (ICCA), 2010 8th IEEE International

    233An autonomous dynamic balance of an electrical bicycle in motion using variable structure under-actuated control

    Hwang, Chih-Lyang; Wu, Hsiu-Ming; 2011-03
    [Graduate Institute & Department of Electrical Engineering] Journal Article
    Asian Journal of Control 13(2), pp.240-254
    of an electrical bicycle in motion using variable structure under-actuated control Hoboken: Wiley-Blackwell Publishing, Inc. Electrical bicycle;dynamic balance

    234Design of an intelligent exponential-reaching sliding-mode control via recurrent fuzzy neural network

    許駿飛; Bore-Kuen Lee; 2014-06-18
    [Graduate Institute & Department of Electrical Engineering] Proceeding
    11th IEEE International Conference on Control and Automation
    電機工程學系暨研究所 許駿飛 Bore-Kuen Lee Chun-Wei Chang 許駿飛 Design of an intelligent exponential-reaching sliding-mode control via recurrent fuzzy neural

    235Design of adaptive exponential sliding-mode control for voice coil motors

    Wong, Kai-Yi; Hsu, Chun-Fei; 2015-11-18
    [Graduate Institute & Department of Electrical Engineering] Proceeding
    2015 International Conference on Fuzzy Theory and Its Applications
    Wong, Kai-Yi Hsu, Chun-Fei Lee, Tsu-Tian Design of adaptive exponential sliding-mode control for voice coil motors intelligent control In this paper

    236Intelligent balancing and trajectory tracking control for unicycle robots

    Hsu, Chun-fei2023-09-28
    [Graduate Institute & Department of Electrical Engineering] Journal Article
    International Journal of Fuzzy Systems 25(8), p.2954-2968
    Hsu, Chun-fei Intelligent balancing and trajectory tracking control for unicycle robots Unicycle robot;Balancing control;Trajectory tracking control

    237Multi-person tracking with ID switch correction based on face recognition

    Chang, Hao-Ting; Tsai, Chi-Yi2021-11-03
    [Graduate Institute & Department of Electrical Engineering] Proceeding
    International Automatic Control Conference 會議資訊 https://www.ciae.org.tw/blog/2021/06/30/call-for-papers%EF%BC%8D2021-international-automatic-control-conference

    238Nonlinear tracking control via approximate backstepping

    Lai, M. C.; Chien, Cheng-chih; 1994-07
    [Graduate Institute & Department of Electrical Engineering] Proceeding
    American Control Conference, pp.1339-1343
    淡江大學電機工程學系 Lai, M. C. Chien, Cheng-chih Cheng, C. Y. Xu, Z. Zhang, Youping 簡丞志 Nonlinear tracking control via approximate backstepping IEEE Presents

    239A decentralized control design method for model-matching robustness problems

    Shiau, Jaw-Kuen; Taranto, Glauco N.; 1997-01
    [Graduate Institute & Department of Aerospace Engineering] Journal Article
    International Journal of Control 68(2), pp.401-416
    淡江大學航空太空工程學系 Shiau, Jaw-Kuen Taranto, Glauco N. Chow, Joe H. A decentralized control design method for model-matching robustness problems London

    240Intelligent nonsingular terminal sliding-mode control via perturbed fuzzy neural network

    Hsu, Chun-Fei; Lee, Tsu-Tian; 2015-10-01
    [Graduate Institute & Department of Electrical Engineering] Journal Article
    Engineering Applications of Artificial Intelligence 45(10), pp.339-349
    Hsu, Chun-Fei Lee, Tsu-Tian Tanaka, Kazuo Intelligent nonsingular terminal sliding-mode control via perturbed fuzzy neural network Pergamon Press


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