• DocumentCode
    2847903
  • Title

    Adaptive dynamic surface control of a class of uncertain nonlinear systems in pure-feedback form using fuzzy backstepping approach

  • Author

    Hou, Zeng-Guang ; Zou, An-Min ; Wu, Fang-Xiang ; Cheng, Long ; Tan, Min

  • Author_Institution
    Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    23-26 Aug. 2008
  • Firstpage
    821
  • Lastpage
    826
  • Abstract
    This paper presents an adaptive fuzzy controller for the robust backstepping control of a class of uncertain nonlinear systems in pure-feedback form. The proposed approach incorporates the Nussbaum gain function (NGF) and the dynamic surface control (DSC) into the existing adaptive fuzzy control scheme. The major features of the proposed method are that: 1) the two problems, control directions and control singularity, are well solved by use of the NGF; 2) the problem of ldquoexplosion of complexityrdquo inherent to the existing backstepping methods is eliminated by introducing the DSC technique; 3) the proposed control scheme has the adaptive mechanism with fewer adaptive laws, which results in less computation time burden. The performance of the proposed approach is demonstrated through a simulation example.
  • Keywords
    adaptive control; feedback; fuzzy control; nonlinear control systems; robust control; uncertain systems; DSC; NGF; Nussbaum gain function; adaptive dynamic surface control; dynamic surface control; fuzzy backstepping approach; pure-feedback form; robust control; uncertain nonlinear systems; Adaptive control; Backstepping; Computational modeling; Control systems; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2022-3
  • Electronic_ISBN
    978-1-4244-2023-0
  • Type

    conf

  • DOI
    10.1109/COASE.2008.4626478
  • Filename
    4626478