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 |
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dc.date.issued |
2012-08 |
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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. |
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dc.identifier.bibliographicCitation |
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, v.29, no.8, pp.966 - 973 |
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dc.identifier.issn |
1000-8152 |
- |
dc.identifier.scopusid |
2-s2.0-84867177760 |
- |
dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/22665 |
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dc.publisher |
Zhongguo Kexueyuan |
- |
dc.title |
Retrospective review of some iterative learning control techniques with a comment on prospective long-term learning |
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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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