• DocumentCode
    37119
  • Title

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

  • Author

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

  • Author_Institution
    Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    22
  • Issue
    2
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    350
  • Lastpage
    362
  • 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.
  • Keywords
    MIMO systems; approximation theory; fuzzy control; nonlinear control systems; variable structure systems; DISMC scheme; ISMC; T-S fuzzy approximation models; T-S fuzzy models; Takagi-Sugeno fuzzy models; approximation capability; continuous-time multi-input multi-output nonlinear systems; nonlinear systems; normbounded approximation errors; universal fuzzy integral sliding mode controllers; Dynamic integral sliding-mode controllers; Takagi–Sugeno (T–S) fuzzy models; universal fuzzy integral sliding-mode controllers;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2013.2254717
  • Filename
    6508921