Synchronization cluster bursting in adaptive oscillators networks

Mengke Wei, Andreas Amann, Oleksandr Burylko, Xiujing Han, Serhiy Yanchuk, Jürgen Kurths
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Abstract

Adaptive dynamical networks are ubiquitous in real-world systems. This paper aims to explore the synchronization dynamics in networks of adaptive oscillators based on a paradigmatic system of adaptively coupled phase oscillators. Our numerical observations reveal the emergence of synchronization cluster bursting, characterized by periodic transitions between cluster synchronization and global synchronization. By investigating a reduced model, the mechanisms underlying synchronization cluster bursting are clarified. We show that a minimal model exhibiting this phenomenon can be reduced to a phase oscillator with complex-valued adaptation. Furthermore, the adaptivity of the system leads to the appearance of additional symmetries and thus to the coexistence of stable bursting solutions with very different Kuramoto order parameters.
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自适应振荡器网络中的同步集群突发
自适应动态网络在现实世界的系统中无处不在。本文以自适应耦合相位振荡器的典型系统为基础,探索自适应振荡器网络中的同步动力学。我们的数值观测揭示了同步集群猝发的出现,其特点是集群同步和全局同步之间的周期性转换。通过研究简化模型,我们阐明了同步簇猝发的内在机制。我们发现,表现出这一现象的最小模型可以简化为一个具有复值适应性的相位振荡器。此外,该系统的适应性导致了额外对称性的出现,从而导致了具有迥然不同的库拉莫托阶参数的稳定猝发解的共存。
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