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Synchronization of Coupled Phase Oscillators with Stochastic Disturbances and the Cycle Space of the Graph

  • Kaihua Xi
  • , Zhen Wang
  • , Aijie Cheng
  • , Hai Xiang Lin
  • , Jan H. van Schuppen
  • , Chenghui Zhang

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

The synchronization stability of a complex network system of coupled phase oscillators is discussed. In case the network is affected by disturbances, a stochastic linearized system of the coupled phase oscillators may be used to determine the fluctuations of phase differences in the lines between the nodes and to identify the vulnerable lines that may lead to desynchronization. The main result is the derivation of the asymptotic variance matrices of the phase differences which characterizes the severity of the fluctuations. It is found that the cycle space of the graph of the system plays a role in this characterization. With theory of the cycle space, the effect of forming small cycles on the fluctuations is evaluated. It is proven that adding a new line or increasing the coupling strength of a line affects the fluctuations in the lines in any cycle including this line, while it does not affect the fluctuations in the other lines. In particular, if the phase differences at the synchronous state are not changed by these actions, then the affected fluctuations reduce.

Original languageEnglish
Pages (from-to)1030-1052
Number of pages23
JournalSIAM Journal on Applied Dynamical Systems
Volume22
Issue number2
DOIs
Publication statusPublished - 2023

Keywords

  • asymptotic variance
  • cycle space of graphs
  • invariant probability distribution
  • Lyapunov equation
  • networked system
  • stochastic Gaussian system
  • synchronization stability

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