Leader-following consensus of second-order nonlinear multi-agent systems with unmodeled dynamics
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zou, Wencheng | - |
dc.contributor.author | Ahn, Choon Ki | - |
dc.contributor.author | Xiang, Zhengrong | - |
dc.date.accessioned | 2021-09-02T01:42:00Z | - |
dc.date.available | 2021-09-02T01:42:00Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2018-12-17 | - |
dc.identifier.issn | 0925-2312 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/70890 | - |
dc.description.abstract | In 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.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER | - |
dc.subject | TRACKING CONTROL | - |
dc.subject | TIME CONSENSUS | - |
dc.subject | CYCLIC PURSUIT | - |
dc.subject | COORDINATION | - |
dc.subject | AGENTS | - |
dc.title | Leader-following consensus of second-order nonlinear multi-agent systems with unmodeled dynamics | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Ahn, Choon Ki | - |
dc.identifier.doi | 10.1016/j.neucom.2018.09.055 | - |
dc.identifier.scopusid | 2-s2.0-85054462367 | - |
dc.identifier.wosid | 000447624800011 | - |
dc.identifier.bibliographicCitation | NEUROCOMPUTING, v.322, pp.120 - 129 | - |
dc.relation.isPartOf | NEUROCOMPUTING | - |
dc.citation.title | NEUROCOMPUTING | - |
dc.citation.volume | 322 | - |
dc.citation.startPage | 120 | - |
dc.citation.endPage | 129 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.subject.keywordPlus | TRACKING CONTROL | - |
dc.subject.keywordPlus | TIME CONSENSUS | - |
dc.subject.keywordPlus | CYCLIC PURSUIT | - |
dc.subject.keywordPlus | COORDINATION | - |
dc.subject.keywordPlus | AGENTS | - |
dc.subject.keywordAuthor | Leader-following consensus | - |
dc.subject.keywordAuthor | Second-order nonlinear systems | - |
dc.subject.keywordAuthor | Multi-agent systems | - |
dc.subject.keywordAuthor | Unmodeled dynamics | - |
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