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Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties
Deyuan Meng; Jingyao Zhang
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2021
卷号8期号:5页码:1001-1014
摘要This paper aims to solve the robust iterative learning control (ILC) problems for nonlinear time-varying systems in the presence of nonrepetitive uncertainties. A new optimization-based method is proposed to design and analyze adaptive ILC, for which robust convergence analysis via a contraction mapping approach is realized by leveraging properties of substochastic matrices. It is shown that robust tracking tasks can be realized for optimization-based adaptive ILC, where the boundedness of system trajectories and estimated parameters can be ensured, regardless of unknown time-varying nonlinearities and nonrepetitive uncertainties. Two simulation tests, especially implemented for an injection molding process, demonstrate the effectiveness of our robust optimization-based ILC results.
关键词Adaptive iterative learning control (ILC) nonlinear time-varying system robust convergence substochastic matrix
DOI10.1109/JAS.2021.1003973
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被引频次:41[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/43962
专题学术期刊_IEEE/CAA Journal of Automatica Sinica
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Deyuan Meng,Jingyao Zhang. Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(5):1001-1014.
APA Deyuan Meng,&Jingyao Zhang.(2021).Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties.IEEE/CAA Journal of Automatica Sinica,8(5),1001-1014.
MLA Deyuan Meng,et al."Robust Optimization-Based Iterative Learning Control for Nonlinear Systems With Nonrepetitive Uncertainties".IEEE/CAA Journal of Automatica Sinica 8.5(2021):1001-1014.
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