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dc.citation.endPage 973 -
dc.citation.number 8 -
dc.citation.startPage 966 -
dc.citation.title Kongzhi Lilun Yu Yingyong/Control Theory and Applications -
dc.citation.volume 29 -
dc.contributor.author Ruan, XE -
dc.contributor.author Park, KH -
dc.contributor.author Bien, Zeungnam -
dc.date.accessioned 2023-12-22T04:45:48Z -
dc.date.available 2023-12-22T04:45:48Z -
dc.date.created 2017-09-13 -
dc.date.issued 2012-08 -
dc.description.abstract This paper firstly makes a retrospective review of some iterative learning control techniques and results regarding to the initial state shift issue and the monotone convergence analysis. Secondly, the paper presents a review of the higher-order iterative learning control scheme including its convergence speed comparison and effectiveness. Then, the paper exhibits a review of iterative learning control mechanism for large-scale systems including repetitive systems and magnitude-varying industrial processes. Lastly, the paper gives a comment on prospective long-term learning control for the future. -
dc.identifier.bibliographicCitation Kongzhi Lilun Yu Yingyong/Control Theory and Applications, v.29, no.8, pp.966 - 973 -
dc.identifier.issn 1000-8152 -
dc.identifier.scopusid 2-s2.0-84867177760 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/22665 -
dc.publisher Zhongguo Kexueyuan -
dc.title Retrospective review of some iterative learning control techniques with a comment on prospective long-term learning -
dc.type Article -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Convergence analysis -
dc.subject.keywordAuthor Higher-order learning law -
dc.subject.keywordAuthor Initial state shift -
dc.subject.keywordAuthor Iterative learning control -
dc.subject.keywordAuthor Large-scale systems -
dc.subject.keywordAuthor Long-term learning control -

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