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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/96109

    Title: Adaptive observer design for the uncertain Takagi-Sugeno fuzzy system with output disturbance
    Authors: Dang, T.V.;Wang, W.-J.;Luoh, L.;Sun, C.-H.
    Contributors: 淡江大學機械與機電工程學系
    Keywords: fuzzy systems;Lyapunov methods;adaptive control;linear matrix inequalities;control system synthesis;observers
    Date: 2012-07-01
    Issue Date: 2014-02-26 10:50:52 (UTC+8)
    Publisher: Stevenage: The Institution of Engineering and Technology
    Abstract: The study proposes an adaptive fuzzy observer for the uncertain Takagi-Sugeno (T-S) fuzzy system with output disturbance. First, an augmented fuzzy model is built by integrating the system state and the output disturbance together as new variables. Then, the desired adaptive fuzzy observer is designed to estimate the unavailable system state and the unknown output disturbance simultaneously. Based on Lyapunov theory and linear matrix inequalities (LMIs) tools, two main conditions are derived under which the fuzzy observer is designed. Finally, the procedure of the observer design is summarised and the effectiveness of the designed observer is demonstrated with a numerical example.
    Relation: IET Control Theory & Applications 6(10), pp.1351-1366
    DOI: 10.1049/iet-cta.2011.0022
    Appears in Collections:[機械與機電工程學系暨研究所] 期刊論文

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