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Optimized multi-variable coupling can improve synchronization in complex networks

delete2024-08-10
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OA
AI
S
Sheida Ansarinasab
F
Fatemeh Parastesh
F
Farnaz Ghassemi
K
Karthikeyan Rajagopal
S
Sajad Jafari *
J
Jürgen Kurths
DOI:10.1007/s11071-024-09934-9delete
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Abstract

Abstract

En 中文
Investigating synchronization in networks of oscillators elucidates the intricate interplay between individual dynamics and emergent collective behavior. This study introduces an optimization algorithm to achieve multi-variable coupling for enhancing synchronization in networks of chaotic systems with diffusive couplings. Our results demonstrate that the optimized multi-variable coupling surpasses single-variable and diagonal couplings in achieving synchronization under equivalent total coupling strength. Employing the optimization algorithm, based on the master stability function (MSF), across networks of chaotic R & ouml;ssler, Hindmarsh-Rose, Lorenz, and Chen reveals that the optimized multi-variable coupling requires lower coupling strength for synchronization than other coupling schemes. Furthermore, the resulting MSF with optimized multi-variable coupling results in more negative values, indicating a higher degree of stability in synchronization.
Keywords:
Synchronization
Complex network
Multi-variable coupling
Optimization algorithm

Journal

Nonlinear Dynamics cover
Nonlinear Dynamics
IF:
6
Papers:
1.4W
Citations:
4.1W

Organization

P
potsdam institut fur klimafolgenforschung
Scholars:
2.1K
Papers: 2.0K
Citations: 2
C
Chennai Institute of Technology
Scholars:
943
Papers: 808
Citations: 3
A
Amirkabir University of Technology
Scholars:
1.1W
Papers: 1.1W
Citations: 1.0W
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Cited Papers

Cited Papers

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err13
PREAI
errPanahi, Shirin; Nazarimehr, Fahimeh; Jafari, Sajad; Sprott, Julien C.; Perc, Matjaz; Repnik, Robert
errShare
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researcher View more