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  • 标题:Cluster Synchronization in Networks of Kuramoto Oscillators 1 1 This material is based upon work supported in part by NSF awards BCS-1631112 and BCS-1430279.
  • 本地全文:下载
  • 作者:Chiara Favaretto ; Angelo Cenedese ; Fabio Pasqualetti
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:2433-2438
  • DOI:10.1016/j.ifacol.2017.08.405
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractA broad class of natural and man-made systems exhibits rich patterns of cluster synchronization in healthy and diseased states, where different groups of interconnected oscillators converge to cohesive yet distinct behaviors. To provide a rigorous characterization of cluster synchronization, we study networks of heterogeneous Kuramoto oscillators and we quantify how the intrinsic features of the oscillators and their interconnection parameters affect the formation and the stability of clustered configurations. Our analysis shows that cluster synchronization depends on a graded combination of strong intra-cluster and weak inter-cluster connections, similarity of the natural frequencies of the oscillators within each cluster, and heterogeneity of the natural frequencies of coupled oscillators belonging to different groups. The analysis leverages linear and nonlinear control theoretic tools, and it is numerically validated.
  • 关键词:KeywordsKuramoto OscillatorsCluster SynchronizationLinearNonlinear Systems
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