DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, KH | ko |
dc.contributor.author | Bien, Zeung nam | ko |
dc.date.accessioned | 2013-03-06T22:45:36Z | - |
dc.date.available | 2013-03-06T22:45:36Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2005-10 | - |
dc.identifier.citation | INTERNATIONAL JOURNAL OF CONTROL, v.78, pp.1218 - 1227 | - |
dc.identifier.issn | 0020-7179 | - |
dc.identifier.uri | http://hdl.handle.net/10203/88731 | - |
dc.description.abstract | In this paper, the monotonic convergence in the sense of sup-norm is studied. First, it is pointed out that, when typical iterative learning control (ILC) algorithms are applied to LTI systems, some huge overshoot in the sense of sup-norm may be observed even though monotonic convergence in the sense of lambda-norm is guaranteed. Then, new types of ILC algorithms are proposed for continuous-time systems and discrete-time systems to resolve such an undesirable phenomenon by adopting an intervalized learning scheme. | - |
dc.language | English | - |
dc.publisher | TAYLOR & FRANCIS LTD | - |
dc.subject | INITIAL-STATE ERROR | - |
dc.subject | ROBUSTNESS | - |
dc.title | Intervalized iterative learning control for monotonic convergence in the sense of sup-norm | - |
dc.type | Article | - |
dc.identifier.wosid | 000232027100007 | - |
dc.identifier.scopusid | 2-s2.0-27844568074 | - |
dc.type.rims | ART | - |
dc.citation.volume | 78 | - |
dc.citation.beginningpage | 1218 | - |
dc.citation.endingpage | 1227 | - |
dc.citation.publicationname | INTERNATIONAL JOURNAL OF CONTROL | - |
dc.identifier.doi | 10.1080/00207170500291937 | - |
dc.contributor.localauthor | Bien, Zeung nam | - |
dc.contributor.nonIdAuthor | Park, KH | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | INITIAL-STATE ERROR | - |
dc.subject.keywordPlus | ROBUSTNESS | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.