Decentralized control of multiple agents for optimizing target tracking performance and collision avoidance표적 추적 성능 최적화 및 충돌 회피를 위한다수 에이전트 분산 제어

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dc.contributor.authorKim, Youngjooko
dc.contributor.authorBang, Hyochoongko
dc.date.accessioned2016-11-09T05:02:12Z-
dc.date.available2016-11-09T05:02:12Z-
dc.date.created2016-10-11-
dc.date.created2016-10-11-
dc.date.issued2016-09-
dc.identifier.citationJournal of Institute of Control, Robotics and Systems, v.22, no.9, pp.693 - 698-
dc.identifier.issn1976-5622-
dc.identifier.urihttp://hdl.handle.net/10203/213726-
dc.description.abstractA decentralized control method is proposed to enable a group of robots to achieve maximum performance in multisensory target tracking while avoiding collision with the target. The decentralized control was designed based on navigation function formalism. The study showed that the multiple agent system converged to the positions providing the maximum performance by the decentralized controller, based on Lyapunov and Hessian theory. An exemplary simulation was given for a multiple agent system tracking a stationary target.-
dc.languageKorean-
dc.publisherInstitute of Control, Robotics and Systems-
dc.titleDecentralized control of multiple agents for optimizing target tracking performance and collision avoidance-
dc.title.alternative표적 추적 성능 최적화 및 충돌 회피를 위한다수 에이전트 분산 제어-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-84986205251-
dc.type.rimsART-
dc.citation.volume22-
dc.citation.issue9-
dc.citation.beginningpage693-
dc.citation.endingpage698-
dc.citation.publicationnameJournal of Institute of Control, Robotics and Systems-
dc.identifier.doi10.5302/J.ICROS.2016.16.0083-
dc.identifier.kciidART002140813-
dc.contributor.localauthorBang, Hyochoong-
dc.description.isOpenAccessN-
dc.subject.keywordAuthorConvergence analysis-
dc.subject.keywordAuthorDecentralized control-
dc.subject.keywordAuthorMultisensory target tracking-
dc.subject.keywordAuthorNavigation function-
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AE-Journal Papers(저널논문)
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