Synchronization of complex dynamical networks with hybrid coupling
Buzhi Qin and
Ying Wang ()
Additional contact information
Buzhi Qin: School of Electrical and Control Engineering, Nanjing Polytechnic Institute, Nanjing 210048, P. R. China
Ying Wang: School of Electrical and Control Engineering, Nanjing Polytechnic Institute, Nanjing 210048, P. R. China
International Journal of Modern Physics C (IJMPC), 2023, vol. 34, issue 09, 1-13
Abstract:
For a strongly connected network, the network may achieve synchronization by coupling of nodes. However, as the size of the network increases, it is difficult for one node with higher degree to couple with all its neighbors, especially when the dimension of the isolated node’s dynamics is more than one. In order to solve this problem, a novel hybrid coupling strategy is proposed to make a complex dynamical network achieve synchronization, where only one random dimension of each node is coupled with its all neighbors, and the other dimension of the node is coupled with only one node. Several numerical simulations verify the effectiveness of the proposed strategy.
Keywords: Synchronization; hybrid coupling; partial coupling; strongly connected (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183123501255
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:34:y:2023:i:09:n:s0129183123501255
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0129183123501255
Access Statistics for this article
International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann
More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().