• DocumentCode
    3307645
  • Title

    Variable structure model reference adaptive control of unknown switched linear systems with relative degree greater than one

  • Author

    Chiang, Ming-Li ; Fu, Li-Chen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    4240
  • Lastpage
    4245
  • Abstract
    In this paper, we consider the model reference adaptive control (MRAC) problem of switched linear systems in which the parameters and switching time instants are all unknown. We apply the output feedback variable structure (VS) based adaptive controller to switched linear systems with general relative degrees and show error convergence and signal boundedness properties by multiple Lyapunov functions. Specifically, a sufficient condition on the switching signal is obtained to ensure stability and error convergence of the system. Incidentally, the robustness and performance of VS adaptive controllers of the systems with jump parameters, which are only seen by simulations in existing literatures, are shown by thorough theoretical analysis. Simulation results are provided to validate the analysis.
  • Keywords
    Lyapunov methods; feedback; linear systems; model reference adaptive control systems; robust control; time-varying systems; variable structure systems; Lyapunov function; error convergence; general relative degrees; jump parameter; model reference adaptive control; output feedback; robustness; signal boundedness; stability; switching signal; unknown switched linear system; variable structure; Adaptive control; Analytical models; Control systems; Convergence; Error correction; Linear feedback control systems; Linear systems; Lyapunov method; Output feedback; Programmable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5400303
  • Filename
    5400303