Synchronization enhancement subjected to adaptive blinking coupling

Author:

Irankhah Reza1ORCID,Mehrabbeik Mahtab1ORCID,Parastesh Fatemeh2ORCID,Rajagopal Karthikeyan2ORCID,Jafari Sajad13ORCID,Kurths Jürgen45ORCID

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. Potsdam Institute for Climate Impact Research 4 , Potsdam 14473, Germany

5. Institute of Physics, Humboldt University of Berlin 5 , Berlin 12489, Germany

Abstract

Synchronization holds a significant role, notably within chaotic systems, in various contexts where the coordinated behavior of systems plays a pivotal and indispensable role. Hence, many studies have been dedicated to investigating the underlying mechanism of synchronization of chaotic systems. Networks with time-varying coupling, particularly those with blinking coupling, have been proven essential. The reason is that such coupling schemes introduce dynamic variations that enhance adaptability and robustness, making them applicable in various real-world scenarios. This paper introduces a novel adaptive blinking coupling, wherein the coupling adapts dynamically based on the most influential variable exhibiting the most significant average disparity. To ensure an equitable selection of the most effective coupling at each time instance, the average difference of each variable is normalized to the synchronous solution’s range. Due to this adaptive coupling selection, synchronization enhancement is expected to be observed. This hypothesis is assessed within networks of identical systems, encompassing Lorenz, Rössler, Chen, Hindmarsh–Rose, forced Duffing, and forced van der Pol systems. The results demonstrated a substantial improvement in synchronization when employing adaptive blinking coupling, particularly when applying the normalization process.

Funder

Center for Nonlinear Systems, Chennai Institute of Technology

Publisher

AIP Publishing

Reference60 articles.

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