Complete Synchronization of Coupled Oscillators Based on the Contraction Theory

Fuente: arXiv
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Main Authors: Zhang, Brian Y, Asadi-Zeydabadi, Masoud, Tagg, Randall
Format: Preprint
Published: 2021
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_version_ 1866929479756021760
author Zhang, Brian Y
Asadi-Zeydabadi, Masoud
Tagg, Randall
author_facet Zhang, Brian Y
Asadi-Zeydabadi, Masoud
Tagg, Randall
contents This paper studies contraction theory with the aim of exploring complete synchronization phenomenon in complex networks of coupled oscillators. We examine the conditions for complete synchronization in three network topologies: all-to-all, star, and ring. Specifically, we derive the conditions under which networks of linearly coupled (Duffing) van der Pol oscillators achieve complete synchronization. Additionally, by combining contraction theory with the trapping region method, we identify the conditions for complete synchronization of networks of linearly coupled Rayleigh van der Pol oscillators under specific initial conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2112_05912
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle Complete Synchronization of Coupled Oscillators Based on the Contraction Theory
Zhang, Brian Y
Asadi-Zeydabadi, Masoud
Tagg, Randall
Adaptation and Self-Organizing Systems
Dynamical Systems
This paper studies contraction theory with the aim of exploring complete synchronization phenomenon in complex networks of coupled oscillators. We examine the conditions for complete synchronization in three network topologies: all-to-all, star, and ring. Specifically, we derive the conditions under which networks of linearly coupled (Duffing) van der Pol oscillators achieve complete synchronization. Additionally, by combining contraction theory with the trapping region method, we identify the conditions for complete synchronization of networks of linearly coupled Rayleigh van der Pol oscillators under specific initial conditions.
title Complete Synchronization of Coupled Oscillators Based on the Contraction Theory
topic Adaptation and Self-Organizing Systems
Dynamical Systems
url https://arxiv.org/abs/2112.05912