In this paper, we propose a time-varying coupling function that results in enhanced synchronization in complex networks of oscillators. The stability of synchronization can be analyzed by applying the master stability approach, which considers the largest Lyapunov exponent of the linearized variational equations as a function of the network eigenvalues as the master stability function. Here, it is assumed that the oscillators have diffusive single-variable coupling. All possible single-variable couplings are studied for each time interval, and the one with the smallest local Lyapunov exponent is selected. The obtained coupling function leads to a decrease in the critical coupling parameter, resulting in enhanced synchronization. Moreover, synchronization is achieved faster, and its robustness is increased. For illustration, the optimum coupling function is found for three networks of chaotic Rössler, Chen, and Chua systems, revealing enhanced synchronization.
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March 2023
Research Article|
March 22 2023
Optimal time-varying coupling function can enhance synchronization in complex networks
Special Collection:
Regime switching in coupled nonlinear systems: sources, prediction, and control
Zahra Dayani;
Zahra Dayani
(Investigation, Software, Writing – original draft)
1
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 159163-4311, Iran
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Fatemeh Parastesh
;
Fatemeh Parastesh
(Investigation, Software, Writing – original draft)
1
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 159163-4311, Iran
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Fahimeh Nazarimehr
;
Fahimeh Nazarimehr
(Formal analysis, Methodology, Validation, Visualization, Writing – original draft)
1
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 159163-4311, Iran
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Karthikeyan Rajagopal
;
Karthikeyan Rajagopal
(Formal analysis, Methodology, Validation, Visualization, Writing – original draft)
2
Centre for Nonlinear Systems, Chennai Institute of Technology
, Chennai 600069, India
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Sajad Jafari
;
Sajad Jafari
(Conceptualization, Methodology, Writing – review & editing)
1
Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 159163-4311, Iran
3
Health Technology Research Institute, Amirkabir University of Technology (Tehran Polytechnic)
, Tehran 159163-4311, Iran
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Eckehard Schöll
;
Eckehard Schöll
a)
(Conceptualization, Supervision, Writing – review & editing)
4
Institut für Theoretische Physik, Technische Universität Berlin
, Hardenbergstrasse 36, 10623 Berlin, Germany
5
Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität
, 10115 Berlin, Germany
6
Potsdam Institute for Climate Impact Research
, Telegrafenberg A 31, 14473 Potsdam, Germany
a)Author to whom correspondence should be addressed: schoell@physik.tu-berlin.de
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Jürgen Kurths
Jürgen Kurths
(Conceptualization, Supervision, Writing – review & editing)
6
Potsdam Institute for Climate Impact Research
, Telegrafenberg A 31, 14473 Potsdam, Germany
7
Department of Physics, Humboldt University Berlin
, Berlin 12489, Germany
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a)Author to whom correspondence should be addressed: schoell@physik.tu-berlin.de
Note: This paper is part of the Focus Issue on Regime switching in coupled nonlinear systems: sources, prediction, and control.
Chaos 33, 033139 (2023)
Article history
Received:
January 18 2023
Accepted:
March 01 2023
Citation
Zahra Dayani, Fatemeh Parastesh, Fahimeh Nazarimehr, Karthikeyan Rajagopal, Sajad Jafari, Eckehard Schöll, Jürgen Kurths; Optimal time-varying coupling function can enhance synchronization in complex networks. Chaos 1 March 2023; 33 (3): 033139. https://doi.org/10.1063/5.0142891
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