Controlling cluster synchronization by adapting the topology

TL;DR

This paper introduces an adaptive topology control scheme for delay-coupled networks to achieve and stabilize specific cluster synchronization states, demonstrating robustness and applicability to various systems.

Contribution

It presents a novel adaptive control method based on the speed-gradient approach for controlling cluster synchronization in delay-coupled networks.

Findings

Successfully stabilizes desired cluster states.

Robust against initial conditions and parameter changes.

Applicable to coupled Stuart-Landau oscillators.

Abstract

We suggest an adaptive control scheme for the control of zero-lag and cluster synchronization in delay-coupled networks. Based on the speed-gradient method, our scheme adapts the topology of a network such that the target state is realized. It is robust towards different initial condition as well as changes in the coupling parameters. The emerging topology is characterized by a delicate interplay of excitatory and inhibitory links leading to the stabilization of the desired cluster state. As a crucial parameter determining this interplay we identify the delay time. Furthermore, we show how to construct networks such that they exhibit not only a given cluster state but also with a given oscillation frequency. We apply our method to coupled Stuart-Landau oscillators, a paradigmatic normal form that naturally arises in an expansion of systems close to a Hopf bifurcation. The successful and robust control of this generic model opens up possible applications in a wide range of systems in physics, chemistry, technology, and life science.