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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
mathematics
Blinking coupling enhances network synchronization
Physical Review E, Volume 105, No. 5, Article 054304, Year 2022
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Description
This paper studies the synchronization of a network with linear diffusive coupling, which blinks between the variables periodically. The synchronization of the blinking network in the case of sufficiently fast blinking is analyzed by showing that the stability of the synchronous solution depends only on the averaged coupling and not on the instantaneous coupling. To illustrate the effect of the blinking period on the network synchronization, the Hindmarsh-Rose model is used as the dynamics of nodes. The synchronization is investigated by considering constant single-variable coupling, averaged coupling, and blinking coupling through a linear stability analysis. It is observed that by decreasing the blinking period, the required coupling strength for synchrony is reduced. It equals that of the averaged coupling model times the number of variables. However, in the averaged coupling, all variables participate in the coupling, while in the blinking model only one variable is coupled at any time. Therefore, the blinking coupling leads to an enhanced synchronization in comparison with the single-variable coupling. Numerical simulations of the average synchronization error of the network confirm the results obtained from the linear stability analysis. © 2022 American Physical Society.
Authors & Co-Authors
Parastesh, Fatemeh
Iran, Tehran
Amirkabir University of Technology
Rajagopal, Karthikeyan R.
India, Chennai
Chennai Institute of Technology
Jafari, Sajad S.
Iran, Tehran
Amirkabir University of Technology
Perc, Matjaž
Slovenia, Maribor
Univerza V Mariboru
Taiwan, Taichung
China Medical University
Austria, Vienna
Complexity Science Hub Vienna
Schöll, Eckehard
Germany, Berlin
Technische Universität Berlin
Germany, Berlin
Bernstein Center for Computational Neuroscience Berlin
Germany, Potsdam
Potsdam Institut Fur Klimafolgenforschung
Statistics
Citations: 33
Authors: 5
Affiliations: 8
Identifiers
Doi:
10.1103/PhysRevE.105.054304
ISSN:
24700045