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Robust  control for stochastic T-S fuzzy systems via integral sliding-mode approach

Qing Gao, Gang Feng, Lu Liu, Jianbin Qiu, Yong Wang

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    In this paper, a novel dynamic integral sliding-mode control (ISMC) scheme is proposed for a class of uncertain stochastic nonlinear time-delay systems represented by Takagi-Sugeno fuzzy models. The key advantage of the proposed scheme is that two very restrictive assumptions in most existing ISMC approaches for stochastic fuzzy systems have been removed. It is shown that the closed-loop control system trajectories are kept on the integral sliding surface almost surely since the initial time. It is also shown that the stochastic stability of the resulting sliding motion can be guaranteed in terms of linear matrix inequalities, and moreover, the sliding-mode controller can be obtained simultaneously. Simulation results from an inverted pendulum example illustrating the advantages and effectiveness of the proposed approaches are provided in the end.
    Original languageEnglish
    Article number6576824
    Pages (from-to)870-881
    JournalIEEE Transactions on Fuzzy Systems
    Volume22
    Issue number4
    Online published8 Aug 2013
    DOIs
    Publication statusPublished - Aug 2014

    Research Keywords

    • Dynamic sliding-mode controllers
    • integral sliding-mode control (ISMC)
    • stochastic fuzzy systems
    • time delay

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