Nonautonomous driving induces stability in network of identical oscillators

TL;DR

This paper explores how nonautonomous driving, with slowly varying frequency, can stabilize the dynamics of networks of identical oscillators, revealing new stability regimes and control strategies.

Contribution

It demonstrates that time-varying driving frequencies can enhance stability in oscillator networks and introduces a control method via topology alteration.

Findings

Stability regions expand with increased frequency modulation amplitude.

Time-variability can stabilize dynamics without changing network topology.

Chimera-like states are observed as a by-product of the analysis.

Abstract

Nonautonomous driving of an oscillator has been shown to enlarge the Arnold tongue in parameter space, but little is known about the analogous effect for a network of oscillators. To test the hypothesis that deterministic nonautonomous perturbation is a good candidate for stabilising complex dynamics, we consider a network of identical phase oscillators driven by an oscillator with a slowly time-varying frequency. We investigate both the short- and long-term stability of the synchronous solutions of this nonautonomous system. For attractive couplings we show that the region of stability grows as the amplitude of the frequency modulation is increased, through the birth of an intermittent synchronisation regime. For repulsive couplings, we propose a control strategy to stabilise the dynamics by altering very slightly the network topology. We also show how, without changing the topology, time-variability in the driving frequency can itself stabilise the dynamics. As a by-product of the analysis, we observe chimera-like states. We conclude that time-variability-induced stability phenomena are also present in networks, reinforcing the idea that this is quite realistic scenario for living systems to use in maintaining their functioning in the face of ongoing perturbations.