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

Xuhui Bu, Zhongsheng Hou, Fashan Yu and Fuzhong Wang

International Journal of Systems Science, 2014, vol. 45, issue 9, 1902-1912

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.

Date: 2014
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DOI: 10.1080/00207721.2012.757815

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