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Further results on iterative learning control with convergence conditions for linear time-variant discrete systems

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  • Xiao-Dong Li
  • John K.L. Ho

Abstract

This article is concerned with some further results on iterative learning control (ILC) algorithms with convergence conditions for linear time-variant discrete systems. By converting two-Dimensional (2-D) ILC process of the linear time-variant discrete systems into 1-D linear time-invariant discrete systems, this article presents convergent ILC algorithms with necessary and sufficient conditions for two classes of linear time-variant discrete systems. Main results in (Li, X.-D., Ho, J.K.L., and Chow, T.W.S. (2005), ‘Iterative Learning Control for Linear Time-variant Discrete Systems Based on 2-D System Theory’, IEE Proceedings, Control Theory and Applications, 152, 13–18 and Huang, S.N., Tan, K.K., and Lee, T.H. (2002), ‘Necessary and Sufficient Condition for Convergence of Iterative Learning Algorithm’, Automatica 38, 1257–1260) are extended and generalised.

Suggested Citation

  • Xiao-Dong Li & John K.L. Ho, 2011. "Further results on iterative learning control with convergence conditions for linear time-variant discrete systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 42(6), pages 989-996.
    • Handle: RePEc:taf:tsysxx:v:42:y:2011:i:6:p:989-996
    DOI: 10.1080/00207720903282931
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