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Universal Fuzzy Integral Sliding-Mode Controllers Based on T-S Fuzzy Models

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

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

    Abstract

    This paper addresses the universal fuzzy integral sliding-mode controllers' problem for continuous-time multi-input multi-output nonlinear systems based on Takagi-Sugeno (T-S) fuzzy models. By using the approximation capability of T-S fuzzy models, the nonlinear systems are expressed by uncertain T-S fuzzy models with norm-bounded approximation errors. A novel fuzzy dynamic integral sliding-mode control (DISMC) scheme is then developed for the nonlinear systems based on their T-S fuzzy approximation models. One of the key features of the new DISMC scheme is that the restrictive assumption that all local linear systems share a common input matrix, which is required in most existing fuzzy integral sliding-mode control (ISMC) approaches, is removed. Furthermore, the results of universal fuzzy ISMCs for two classes of nonlinear systems, along with constructive procedures to obtain the universal fuzzy ISMCs, are provided, respectively. Finally, the advantages and effectiveness of the proposed approaches are illustrated via a numerical example.
    Original languageEnglish
    Article number6508921
    Pages (from-to)350 - 362
    JournalIEEE Transactions on Fuzzy Systems
    Volume22
    Issue number2
    Online published25 Apr 2013
    DOIs
    Publication statusPublished - Apr 2014

    Research Keywords

    • Dynamic integral sliding-mode controllers
    • Takagi-Sugeno (T-S) fuzzy models
    • universal fuzzy integral sliding-mode controllers

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