多稳态
拓扑(电路)
同步(交流)
同步网络
网络拓扑
Kuramoto模型
计算机科学
惯性
网络动力学
惯性参考系
物理
控制理论(社会学)
数学
非线性系统
经典力学
人工智能
控制(管理)
量子力学
组合数学
离散数学
操作系统
作者
William Qian,Lia Papadopoulos,Zhixin Lu,Keith A. Kroma-Wiley,Fabio Pasqualetti,Dani S. Bassett
出处
期刊:Physical review
[American Physical Society]
日期:2022-02-09
卷期号:105 (2)
被引量:3
标识
DOI:10.1103/physreve.105.024304
摘要
In networks of coupled oscillators, it is of interest to understand how interaction topology affects synchronization. Many studies have gained key insights into this question by studying the classic Kuramoto oscillator model on static networks. However, new questions arise when the network structure is time varying or when the oscillator system is multistable, the latter of which can occur when an inertial term is added to the Kuramoto model. While the consequences of evolving topology and multistability on collective behavior have been examined separately, real-world systems such as gene regulatory networks and the brain may exhibit these properties simultaneously. It is thus relevant to ask how time-varying network connectivity impacts synchronization in systems that can exhibit multistability. To address this question, we study how the dynamics of coupled Kuramoto oscillators with inertia are affected when the topology of the underlying network changes in time. We show that hysteretic synchronization behavior in networks of coupled inertial oscillators can be driven by changes in connection topology alone. Moreover, we find that certain fixed-density rewiring schemes induce significant changes to the level of global synchrony that remain even after the network returns to its initial configuration, and we show that these changes are robust to a wide range of network perturbations. Our findings highlight that the specific progression of network topology over time, in addition to its initial or final static structure, can play a considerable role in modulating the collective behavior of systems evolving on complex networks.
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