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Robust Fault-tolerant Iterative Learning Control for Discrete Systems via Linear Repetitive Processes Theory 被引量:2

Robust Fault-tolerant Iterative Learning Control for Discrete Systems via Linear Repetitive Processes Theory
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摘要 This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input multipleoutput discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop formulas for gain matrices design, together with convergent conditions in terms of linear matrix inequalities. An extension to deal with model uncertainty of the polytopic or norm bounded form is also developed and an illustrative example is given. This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input multipleoutput discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop formulas for gain matrices design, together with convergent conditions in terms of linear matrix inequalities. An extension to deal with model uncertainty of the polytopic or norm bounded form is also developed and an illustrative example is given.
出处 《International Journal of Automation and computing》 EI CSCD 2015年第3期254-265,共12页 国际自动化与计算杂志(英文版)
基金 supported by National Natural Science Foundation of China(Nos.61273070 and 61203092) 111 project(No.B12018)
关键词 Iterative learning control linear repetitive processes linear matrix inequality(LMI) discrete linear systems fault-tolerant cont Iterative learning control,linear repetitive processes,linear matrix inequality(LMI),discrete linear systems,fault-tolerant cont
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