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Higher-order cluster consensus of a multi-agent network with continuous-time dynamics

Develer, Umit; Akar, Mehmet


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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/6321</identifier>
  <creators>
    <creator>
      <creatorName>Develer, Umit</creatorName>
      <givenName>Umit</givenName>
      <familyName>Develer</familyName>
      <affiliation>Bogazici Univ, Dept Elect &amp; Elect Engn, TR-34342 Bebek, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Akar, Mehmet</creatorName>
      <givenName>Mehmet</givenName>
      <familyName>Akar</familyName>
      <affiliation>Bogazici Univ, Dept Elect &amp; Elect Engn, TR-34342 Bebek, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Higher-Order Cluster Consensus Of A Multi-Agent Network With Continuous-Time Dynamics</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/6321</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1177/0142331220940229</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">This paper studies the higher-order cluster agreement problem for continuous-time networks evolving over any given directed graph. Necessary and sufficient conditions are derived to reach clusters that are not pre-determined as opposed to existing literature. The analysis shows that appropriate stabilizing choices of coupling strengths do not affect the number of clusters and the final values of the clusters. The results are verified by numerical examples.</description>
  </descriptions>
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