中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fundamental Trackability Problems for Iterative Learning Control

文献类型:期刊论文

作者Deyuan Meng; Jingyao Zhang
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:10页码:1933-1950
关键词Convergence functional Cauchy sequence (FCS) iterative learning control (ILC) trackability
ISSN号2329-9266
DOI10.1109/JAS.2023.123312
英文摘要Generally, the classic iterative learning control (ILC) methods focus on finding design conditions for repetitive systems to achieve the perfect tracking of any specified trajectory, whereas they ignore a fundamental problem of ILC: whether the specified trajectory is trackable, or equivalently, whether there exist some inputs for the repetitive systems under consideration to generate the specified trajectory? The current paper contributes to dealing with this problem. Not only is a concept of trackability introduced formally for any specified trajectory in ILC, but also some related trackability criteria are established. Further, the relation between the trackability and the perfect tracking tasks for ILC is bridged, based on which a new convergence analysis approach is developed for ILC by leveraging properties of a functional Cauchy sequence (FCS). Simulation examples are given to verify the effectiveness of the presented trackability criteria and FCS-induced convergence analysis method for ILC.
源URL[http://ir.ia.ac.cn/handle/173211/52394]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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GB/T 7714
Deyuan Meng,Jingyao Zhang. Fundamental Trackability Problems for Iterative Learning Control[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(10):1933-1950.
APA Deyuan Meng,&Jingyao Zhang.(2023).Fundamental Trackability Problems for Iterative Learning Control.IEEE/CAA Journal of Automatica Sinica,10(10),1933-1950.
MLA Deyuan Meng,et al."Fundamental Trackability Problems for Iterative Learning Control".IEEE/CAA Journal of Automatica Sinica 10.10(2023):1933-1950.

入库方式: OAI收割

来源:自动化研究所

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