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iterative learning controller design for a class of discrete-time systems with data dropouts

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  • Xuhui Bu
  • Zhongsheng Hou
  • Fashan Yu
  • Fuzhong Wang

Abstract

In this paper, the issue of H∞ iterative learning controller design is considered for a class of discrete-time systems with data dropouts. With the super-vector formulation of iterative learning control (ILC), such a system can be formulated as a linear discrete-time stochastic system in the iteration domain, and then a sufficient condition guaranteeing both stability of the ILC process and the desired H∞ performance in the iteration domain is presented. The condition can be derived in terms of linear matrix inequalities that can be solved by using existing numerical techniques. A numerical simulation example is also included to validate the theoretical results.

Suggested Citation

  • Xuhui Bu & Zhongsheng Hou & Fashan Yu & Fuzhong Wang, 2014. "iterative learning controller design for a class of discrete-time systems with data dropouts," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(9), pages 1902-1912, September.
    • Handle: RePEc:taf:tsysxx:v:45:y:2014:i:9:p:1902-1912
    DOI: 10.1080/00207721.2012.757815
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