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    Please use this identifier to cite or link to this item: https://irlib.pccu.edu.tw/handle/987654321/48734


    Title: Adaptive Linearizing Fuzzy Control of Delayed MIMO Nonstrict-Feedback Systems
    Authors: Huang, JT (Huang, Jeng-Tze)
    Law, YC (Law, Yu-Cheung)
    Contributors: 機械系
    Keywords: elay effects
    Fuzzy logic
    Control design
    MIMO communication
    Stability analysis
    Task analysis
    Adaptive linearizing
    dynamic surface control (DSC)
    direct compensation
    fuzzy control
    multiswitching
    nonstrict feedback
    time delays
    Date: 2020-10
    Issue Date: 2020-10-28 15:41:10 (UTC+8)
    Abstract: The multiswitching algorithm has demonstrated its ability in achieving the global tracking stability and preventing the control singularity for strict-feedback systems. However, its direct application to the nonstrict-feedback systems is prohibited due to the serious algebraic-loop problem. Via exploring the ability of the dynamic surface control for conquering such a difficulty, the direct-compensation approach ensured the semiglobally uniformly ultimately bounded stability for nonstrict-feedback systems with unity control coefficients so far. This article aims to integrate these two methods to tackle a more challenging task of controlling multiinput-multioutput nonstrict-feedback systems with unknown control-affine functions and time-varying delays. Comparing with the existing schemes in the literature, the proposed design exhibits the following distinct features: 1) the control-affine functions and the delayed functions can depend on the whole state vector; 2) the time delays can be incoherent among different states; and 3) the globally uniformly ultimately bounded stability is achieved without incurring the control singularity, explosion of complexity, and the algebraic-loop problems simultaneously.
    Relation: IEEE TRANSACTIONS ON FUZZY SYSTEMS 卷冊: 28 期: 10 頁數: 2592-2604
    Appears in Collections:[Department of Mechanical Engineering ] journal articles

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