DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jong Min | ko |
dc.contributor.author | Lee, Jay H. | ko |
dc.date.accessioned | 2013-03-09T17:35:28Z | - |
dc.date.available | 2013-03-09T17:35:28Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2009-05 | - |
dc.identifier.citation | JOURNAL OF PROCESS CONTROL, v.19, no.5, pp.859 - 864 | - |
dc.identifier.issn | 0959-1524 | - |
dc.identifier.uri | http://hdl.handle.net/10203/97012 | - |
dc.description.abstract | In this paper, an approximate dynamic programming (ADP) based strategy is applied to the dual adaptive control problem. The ADP strategy provides a computationally amenable way to build a significantly improved policy by solving dynamic programming on only those points of the hyper-state space sampled during closed-loop Monte Carlo simulations performed under known suboptimal control policies. The potentials of the ADP approach for generating a significantly improved policy are illustrated on an ARX process with unknown/varying parameters. (C) 2009 Elsevier Ltd. All rights reserved. | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCI LTD | - |
dc.subject | IDENTIFICATION | - |
dc.subject | SYSTEMS | - |
dc.title | An approximate dynamic programming based approach to dual adaptive control | - |
dc.type | Article | - |
dc.identifier.wosid | 000267852700012 | - |
dc.identifier.scopusid | 2-s2.0-67349205390 | - |
dc.type.rims | ART | - |
dc.citation.volume | 19 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 859 | - |
dc.citation.endingpage | 864 | - |
dc.citation.publicationname | JOURNAL OF PROCESS CONTROL | - |
dc.identifier.doi | 10.1016/j.jprocont.2008.11.009 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, Jay H. | - |
dc.contributor.nonIdAuthor | Lee, Jong Min | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Dual control | - |
dc.subject.keywordAuthor | Stochastic optimal control | - |
dc.subject.keywordAuthor | Adaptive control | - |
dc.subject.keywordAuthor | Stochastic dynamic programming | - |
dc.subject.keywordAuthor | Approximate dynamic programming | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | SYSTEMS | - |
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