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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ji, DH | - |
| dc.contributor.author | Koo, JH | - |
| dc.contributor.author | Won, SC | - |
| dc.contributor.author | Lee, SM | - |
| dc.contributor.author | Park, JH | - |
| dc.date.accessioned | 2016-03-31T09:45:45Z | - |
| dc.date.available | 2016-03-31T09:45:45Z | - |
| dc.date.created | 2011-04-18 | - |
| dc.date.issued | 2011-03-01 | - |
| dc.identifier.issn | 0096-3003 | - |
| dc.identifier.other | 2011-OAK-0000023411 | - |
| dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/17539 | - |
| dc.description.abstract | This paper considers the problem of passivity-based controller design for Hopfield neural networks. By making use of a convex representation of nonlinearities, a feedback control scheme based on passivity and Lyapunov theory is presented. A criterion for existence of the controller is given in terms of linear matrix inequality (LMI), which can be easily solved by a convex optimization problem. An example and its numerical simulation are given to show the effectiveness of the proposed method. (C) 2010 Elsevier Inc. All rights reserved. | - |
| dc.description.statementofresponsibility | X | - |
| dc.language | English | - |
| dc.publisher | ELSEVIER SCIENCE INC | - |
| dc.relation.isPartOf | APPLIED MATHEMATICS AND COMPUTATION | - |
| dc.subject | Hopfield neural network | - |
| dc.subject | H(infinity) passivity | - |
| dc.subject | Convex problem | - |
| dc.subject | LMI | - |
| dc.subject | TIME-VARYING DELAYS | - |
| dc.subject | DEPENDENT ASYMPTOTIC STABILITY | - |
| dc.subject | CRITERIA | - |
| dc.subject | SYSTEM | - |
| dc.title | Passivity-based control for Hopfield neural networks using convex representation | - |
| dc.type | Article | - |
| dc.contributor.college | 전자전기공학과 | - |
| dc.identifier.doi | 10.1016/J.AMC.2010.12.100 | - |
| dc.author.google | Ji, DH | - |
| dc.author.google | Koo, JH | - |
| dc.author.google | Won, SC | - |
| dc.author.google | Lee, SM | - |
| dc.author.google | Park, JH | - |
| dc.relation.volume | 217 | - |
| dc.relation.issue | 13 | - |
| dc.relation.startpage | 6168 | - |
| dc.relation.lastpage | 6175 | - |
| dc.contributor.id | 10083575 | - |
| dc.relation.journal | APPLIED MATHEMATICS AND COMPUTATION | - |
| dc.relation.index | SCI급, SCOPUS 등재논문 | - |
| dc.relation.sci | SCIE | - |
| dc.collections.name | Journal Papers | - |
| dc.type.rims | ART | - |
| dc.identifier.bibliographicCitation | APPLIED MATHEMATICS AND COMPUTATION, v.217, no.13, pp.6168 - 6175 | - |
| dc.identifier.wosid | 000287690400016 | - |
| dc.date.tcdate | 2019-01-01 | - |
| dc.citation.endPage | 6175 | - |
| dc.citation.number | 13 | - |
| dc.citation.startPage | 6168 | - |
| dc.citation.title | APPLIED MATHEMATICS AND COMPUTATION | - |
| dc.citation.volume | 217 | - |
| dc.contributor.affiliatedAuthor | Won, SC | - |
| dc.identifier.scopusid | 2-s2.0-79952002325 | - |
| dc.description.journalClass | 1 | - |
| dc.description.journalClass | 1 | - |
| dc.description.wostc | 60 | - |
| dc.description.scptc | 60 | * |
| dc.date.scptcdate | 2018-05-121 | * |
| dc.type.docType | Article | - |
| dc.subject.keywordPlus | TIME-VARYING DELAYS | - |
| dc.subject.keywordPlus | DEPENDENT ASYMPTOTIC STABILITY | - |
| dc.subject.keywordPlus | CRITERIA | - |
| dc.subject.keywordPlus | SYSTEM | - |
| dc.subject.keywordAuthor | Hopfield neural network | - |
| dc.subject.keywordAuthor | H-infinity passivity | - |
| dc.subject.keywordAuthor | Convex problem | - |
| dc.subject.keywordAuthor | LMI | - |
| dc.relation.journalWebOfScienceCategory | Mathematics, Applied | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Mathematics | - |
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