4.7 Article

Emergence of synchronous behavior in a network with chaotic multistable systems

期刊

CHAOS SOLITONS & FRACTALS
卷 151, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2021.111263

关键词

Multistable systems; Complex networks; Complete synchronization; Partial synchronization

资金

  1. CONACYT [CVU-424195, A1-S-30433]

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This work addresses the synchronization problem of complex dynamical networks with bidirectional, linear, and diffusive coupling, where the nodes have dynamics described by a particular class of piecewise linear (PWL) systems. The study shows that by adjusting the inner and external coupling matrix as well as initial conditions, the network nodes can achieve complete or partial synchronization, and even exhibit synchronous behavior similar to master-slave synchronization. The theoretical results are consistent with numerical simulations for a set of nodes in different topology networks.
In this work, we address the synchronization problem of complex dynamical networks with bidirectional, linear, and diffusive coupling, whose nodes have dynamics given by a particular class of piecewise linear (PWL) systems. The class of PWL systems are multistable unstable dissipative systems and exhibit chaotic behavior. The topologies that we consider are regular coupled network. Firstly, we consider that the complex network has a uniform coupling strength, and through the Lyapunov approach, we show that nodes can achieve complete or partial synchronization, where the synchronization solution depends on the inner coupling matrix and the initial conditions of each node. Secondly, we consider a weighted network, where the synchronization solution depends on the external coupling matrix, and even obtain a synchronous behavior type master-slave. Our theoretical results agree with the numerical simulations for a set of nodes in different topology networks. (c) 2021 Elsevier Ltd. All rights reserved.

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