• DocumentCode
    577670
  • Title

    Iterative learning control for linear switched systems with arbitrary switched rules

  • Author

    Xuhui Bu ; Fashan Yu ; Zhongsheng Hou

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    1182
  • Lastpage
    1187
  • Abstract
    In this paper, the problem of iterative learning control for a class of linear discrete-time switched systems with arbitrary switched rules is considered. It is assume 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 output error between the desired output and the actual output for the entire time interval through the iterative learning process. An example is given to illustrate the effectiveness of the proposed approach.
  • Keywords
    adaptive control; convergence; discrete time systems; iterative methods; learning systems; linear systems; time-varying systems; D-type iterative learning control law; arbitrary switched rule; asymptotic convergence; finite time interval; linear discrete-time switched system; Asymptotic stability; Convergence; Power system stability; Stability analysis; Switched systems; Switches; arbitrary switched rules; iterative learning control; linear switched system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358060
  • Filename
    6358060