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Leader-following consensus of second-order nonlinear multi-agent systems with unmodeled dynamics

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dc.contributor.authorZou, Wencheng-
dc.contributor.authorAhn, Choon Ki-
dc.contributor.authorXiang, Zhengrong-
dc.date.accessioned2021-09-02T01:42:00Z-
dc.date.available2021-09-02T01:42:00Z-
dc.date.created2021-06-19-
dc.date.issued2018-12-17-
dc.identifier.issn0925-2312-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/70890-
dc.description.abstractIn this paper, the leader-following consensus is investigated for a class of second-order nonlinear multiagent systems with unmodeled dynamics. A new distributed protocol, which contains a designed signal to dominate the effects of unmodeled dynamics, is presented to solve the consensus problem for multi-agent systems. The protocol is designed without using the information of Laplacian matrix and the Lipschitz constants. It is proven that the practical leader-following consensus can be achieved by the proposed protocol under both undirected and directed topologies. Then, we propose a nonsmooth protocol by which the complete leader-following consensus for the nonlinear multi-agent systems can be achieved. Finally, two demonstrative examples are given to illustrate the effectiveness of the designed protocols. (C) 2018 Elsevier B. V. All rights reserved.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherELSEVIER-
dc.subjectTRACKING CONTROL-
dc.subjectTIME CONSENSUS-
dc.subjectCYCLIC PURSUIT-
dc.subjectCOORDINATION-
dc.subjectAGENTS-
dc.titleLeader-following consensus of second-order nonlinear multi-agent systems with unmodeled dynamics-
dc.typeArticle-
dc.contributor.affiliatedAuthorAhn, Choon Ki-
dc.identifier.doi10.1016/j.neucom.2018.09.055-
dc.identifier.scopusid2-s2.0-85054462367-
dc.identifier.wosid000447624800011-
dc.identifier.bibliographicCitationNEUROCOMPUTING, v.322, pp.120 - 129-
dc.relation.isPartOfNEUROCOMPUTING-
dc.citation.titleNEUROCOMPUTING-
dc.citation.volume322-
dc.citation.startPage120-
dc.citation.endPage129-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.subject.keywordPlusTRACKING CONTROL-
dc.subject.keywordPlusTIME CONSENSUS-
dc.subject.keywordPlusCYCLIC PURSUIT-
dc.subject.keywordPlusCOORDINATION-
dc.subject.keywordPlusAGENTS-
dc.subject.keywordAuthorLeader-following consensus-
dc.subject.keywordAuthorSecond-order nonlinear systems-
dc.subject.keywordAuthorMulti-agent systems-
dc.subject.keywordAuthorUnmodeled dynamics-
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