Multistability and Control in Ring Networks of Phase Oscillators with Frequency Heterogeneity and Phase Lag

TL;DR

This paper explores multistability in ring networks of phase oscillators with frequency heterogeneity and phase lag, analyzing basin sizes and proposing a control method to achieve desired synchronization states.

Contribution

It introduces a numerical analysis of multistability in inhomogeneous oscillator rings and proposes a control strategy leveraging inhomogeneity and phase lag.

Findings

Higher wavenumber states have larger basin sizes with increased phase lag.

Weak frequency inhomogeneity broadens basin sizes of lower wavenumber states.

A control method using inhomogeneity and phase lag can steer the system to specific synchronized states.

Abstract

Many oscillator networks are multistable, meaning that different synchronization states are realized depending on the initial conditions. In this paper, we numerically analyze a ring network of phase oscillators, in which synchronous states with different wavenumbers are simultaneously stable. This model is an extension of the one studied in detail in previous studies by introducing inhomogeneities in the natural frequencies and the phase lag in the interaction, which are essential factors in the application. We investigate basin size distribution, which characterizes the size of the initial value set that converges to each synchronous state, showing that the basin size of synchronous states with higher wave-numbers broadens as the phase lag increases up to a certain extent. Weak inhomogeneities in the natural frequencies are also found to broaden the basin size of synchronous states with lower wave-numbers, i.e., more synchronous states. The latter result is seemingly counter-intuitive, but occurs because the higher wavenumber states are more vulnerable to inhomogeneity. Finally, we propose a control method that exploits inhomogeneity and phase lag to steer the system into a synchronized state with a specific wavenumber. This research furthers our understanding of the design principles and control of oscillator networks.