Dynamics of minimal networks of limit cycle oscillators
Name
11071_2024_9641_ReferencePDF.pdf
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Author(s)
Biju, Andrea E.
Srikanth, Sneha
Manoj, Krishna
Pawar, Samadhan A.
Sujith, R. I.
Date Issued
May 24, 2024
Journal
112
Publisher
Springer Netherlands
Citation
Biju, A.E., Srikanth, S., Manoj, K. et al. Dynamics of minimal networks of limit cycle oscillators. Nonlinear Dyn 112, 11329–11348 (2024).
Version
Author's final manuscript
Abstract
The framework of mutually coupled oscillators on a network has served as a convenient tool for investigating the impact of various parameters on the dynamics of real-world systems. Compared to large networks of oscillators, minimal networks are more susceptible to changes in coupling parameters, number of oscillators, and network topologies. In this study, we systematically explore the influence of these parameters on the dynamics of a minimal network comprising Stuart–Landau oscillators coupled with a distance-dependent time delay. We examine three network topologies: ring, chain, and star. Specifically, for ring networks, we study the effects of increasing nonlocality from local to global coupling on the overall dynamics of the system. Our findings reveal the existence of various synchronized states, including splay and cluster states, a partially synchronized state such as chimera with quasiperiodic oscillations, and an oscillation quenching state such as amplitude death in these networks. Through an analysis of long-lived transients, we discover novel amplitude-modulated in-phase and amplitude-modulated 2-cluster states within ring networks. Interestingly, we observe that increasing nonlocality diminishes the influence of the number of oscillators on the overall behavior in these networks. Furthermore, we note that oscillators in chain networks exhibit clustering in both amplitude and phase, while star networks demonstrate remote synchronization. The insights from this study deepen our understanding of the dynamics of minimal networks and have implications for various fields, ranging from biology to engineering
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
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DOI of Published Version
https://doi.org/10.1007/s11071-024-09641-5
