• DocumentCode
    1095250
  • Title

    Adaptive Sliding-Mode Control for NonlinearSystems With Uncertain Parameters

  • Author

    Huang, Ying-Jeh ; Kuo, Tzu-Chun ; Chang, Shin-Hung

  • Author_Institution
    Yuan Ze Univ., Chungli
  • Volume
    38
  • Issue
    2
  • fYear
    2008
  • fDate
    4/1/2008 12:00:00 AM
  • Firstpage
    534
  • Lastpage
    539
  • Abstract
    This correspondence proposes a systematic adaptive sliding- mode controller design for the robust control of nonlinear systems with uncertain parameters. An adaptation tuning approach without high- frequency switching is developed to deal with unknown but bounded system uncertainties. Tracking performance is guaranteed. System robustness, as well as stability, is proven by using the Lyapunov theory. The upper bounds of uncertainties are not required to be known in advance. Therefore, the proposed method can be effectively implemented. Experimental results demonstrate the effectiveness of the proposed control method.
  • Keywords
    Lyapunov methods; adaptive control; nonlinear control systems; robust control; uncertain systems; variable structure systems; Lyapunov theory; adaptation tuning approach; adaptive sliding-mode control design; nonlinear control system; robust control; robust stability; uncertain parameter; Adaptive control; Adaptive systems; Control systems; Nonlinear control systems; Nonlinear systems; Programmable control; Robust control; Robust stability; Sliding mode control; Uncertainty; Adaptive control; robustness; tracking; uncertain systems; variable structure systems; Algorithms; Artifacts; Artificial Intelligence; Computer Simulation; Feedback; Information Storage and Retrieval; Models, Statistical; Nonlinear Dynamics; Pattern Recognition, Automated;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2007.910740
  • Filename
    4468815