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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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???ViewItemFull_lblCiteItemAs???: https://publications.pik-potsdam.de/pubman/item/item_30673 ???ViewItemFull_lblCiteItemVersionAs???: https://publications.pik-potsdam.de/pubman/item/item_30673_2
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 ???ViewItemFull_lblCreators???:
Ansarinasab, Sheida1, ???ENUM_CREATORROLE_AUTHOR???
Parastesh, Fatemeh1, ???ENUM_CREATORROLE_AUTHOR???
Ghassemi, Farnaz1, ???ENUM_CREATORROLE_AUTHOR???
Rajagopal, Karthikeyan1, ???ENUM_CREATORROLE_AUTHOR???
Jafari, Sajad1, ???ENUM_CREATORROLE_AUTHOR???
Kurths, Jürgen2, ???ENUM_CREATORROLE_AUTHOR???           
???ViewItemFull_lblAffiliations???:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 ???ViewItemFull_lblAbstract???: 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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???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2024-08-102024-10-01
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 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1007/s11071-024-09934-9
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???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Complex Networks
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Nonlinear Dynamics
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???ViewItemFull_lblSourceTitle???: Nonlinear Dynamics
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus
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???ENUM_IDENTIFIERTYPE_PUBLISHER???: Springer