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  Optimized multi-variable coupling can improve synchronization in complex networks

Ansarinasab, S., Parastesh, F., Ghassemi, F., Rajagopal, K., Jafari, S., Kurths, J. (2024): Optimized multi-variable coupling can improve synchronization in complex networks. - Nonlinear Dynamics, 112, 18491-18500.
https://doi.org/10.1007/s11071-024-09934-9

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 Creators:
Ansarinasab, Sheida1, Author
Parastesh, Fatemeh1, Author
Ghassemi, Farnaz1, Author
Rajagopal, Karthikeyan1, Author
Jafari, Sajad1, Author
Kurths, Jürgen2, Author              
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: 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 Rössler, 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.

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Language(s): eng - English
 Dates: 2024-08-102024-10-01
 Publication Status: Finally published
 Pages: 10
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s11071-024-09934-9
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
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Title: Nonlinear Dynamics
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 112 Sequence Number: - Start / End Page: 18491 - 18500 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/nonlinear-dynamics
Publisher: Springer