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Stability of Clusters in the Second-Order Kuramoto Model on Random Graphs

机译:在随机图中二阶Kuramoto模型中簇的稳定性

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The Kuramoto model of coupled phase oscillators with inertia on Erdos-Renyi graphs is analyzed in this work. For a system with intrinsic frequencies sampled from a bimodal distribution we identify a variety of two cluster patterns and study their stability. To this end, we decompose the description of the cluster dynamics into two systems: one governing the (macro) dynamics of the centers of mass of the two clusters and the second governing the (micro) dynamics of individual oscillators inside each cluster. The former is a low-dimensional ODE whereas the latter is a system of two coupled Vlasov PDEs. Stability of the cluster dynamics depends on the stability of the low-dimensional group motion and on coherence of the oscillators in each group. We show that the loss of coherence in one of the clusters leads to the loss of stability of a two-cluster state and to formation of chimera states. The analysis of this paper can be generalized to cover states with more than two clusters and to coupled systems on W-random graphs. Our results apply to a model of a power grid with fluctuating sources.
机译:本文分析了鄂尔多斯-仁义图上具有惯性的耦合相位振荡器的库拉莫托模型。对于从双峰分布中采样的固有频率系统,我们识别了各种两种簇模式,并研究了它们的稳定性。为此,我们将团簇动力学的描述分解为两个系统:一个控制两个团簇质心的(宏观)动力学,另一个控制每个团簇内单个振荡器的(微观)动力学。前者是低维常微分方程,而后者是两个耦合的弗拉索夫偏微分方程系统。团簇动力学的稳定性取决于低维群运动的稳定性和每个群中振子的相干性。我们发现,其中一个团簇的相干性损失会导致两团簇态的稳定性损失,并导致嵌合体态的形成。本文的分析可以推广到包含两个以上簇的状态和W-随机图上的耦合系统。我们的结果适用于具有波动源的电网模型。

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