Optimal time-varying coupling function can enhance synchronization in complex networks

Author:

Dayani Zahra1,Parastesh Fatemeh1ORCID,Nazarimehr Fahimeh1ORCID,Rajagopal Karthikeyan2ORCID,Jafari Sajad13ORCID,Schöll Eckehard456ORCID,Kurths Jürgen67ORCID

Affiliation:

1. Department of Biomedical Engineering, Amirkabir University of Technology (Tehran Polytechnic) 1 , Tehran 159163-4311, Iran

2. Centre for Nonlinear Systems, Chennai Institute of Technology 2 , Chennai 600069, India

3. Health Technology Research Institute, Amirkabir University of Technology (Tehran Polytechnic) 3 , Tehran 159163-4311, Iran

4. Institut für Theoretische Physik, Technische Universität Berlin 4 , Hardenbergstrasse 36, 10623 Berlin, Germany

5. Bernstein Center for Computational Neuroscience Berlin, Humboldt-Universität 5 , 10115 Berlin, Germany

6. Potsdam Institute for Climate Impact Research 6 , Telegrafenberg A 31, 14473 Potsdam, Germany

7. Department of Physics, Humboldt University Berlin 7 , Berlin 12489, Germany

Abstract

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.

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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