• DocumentCode
    2312
  • Title

    Brief paper: iterative learning control for a class of non-linear switched systems

  • Author

    Xuhui Bu ; Zhongsheng Hou ; Fashan Yu ; Ziyi Fu

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    7
  • Issue
    3
  • fYear
    2013
  • fDate
    February 14 2013
  • Firstpage
    470
  • Lastpage
    481
  • Abstract
    In this study, the problem of iterative learning control for a class of non-linear switched systems with arbitrary switched rules is considered. It is assumed that the considered switched systems are operated during a finite-time interval repetitively, and then the iterative learning control scheme can be introduced. It is also shown that under some given conditions, the D-type iterative learning control law can guarantee the asymptotic convergence of the tracking error between the desired output and the actual output for the entire time interval through the iterative learning process. Two examples are given to illustrate the effectiveness of the proposed approach.
  • Keywords
    convergence; iterative methods; learning systems; nonlinear control systems; self-adjusting systems; time-varying systems; D-type iterative learning control law; arbitrary switched rule; asymptotic convergence; finite time interval; iterative learning control scheme; nonlinear switched system; tracking error;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2012.0714
  • Filename
    6544447