Stabilizing Stuart-Landau oscillators via time-varying networks
Claudio Pereti, Duccio Fanelli

TL;DR
This paper presents a method to stabilize synchronization in Stuart-Landau oscillators by dynamically switching between two networks, using network plasticity and analytical criteria for optimal switching rates.
Contribution
It introduces a novel approach to enforce synchronization through time-varying networks and provides an analytical framework for the switching rate required.
Findings
Synchronization can be restored by network switching at a critical rate.
The method is rigorously supported by the average theorem.
Engineered networks enable control of oscillator dynamics.
Abstract
A procedure is developed and tested to enforce synchronicity in a family of Stuart-Landau oscillators, coupled through a symmetric network. The proposed method exploits network plasticity, as an inherent non autonomous drive. More specifically, we assume that the system is initially confined on a network which turns the underlying homogeneous synchronous state unstable. A properly engineered network can be always generated, which links the same set of nodes, and allows for synchronicity to be eventually restored, upon performing continuously swappings, at a sufficient rate, between the two aforementioned networks. The result is cast in rigorous terms, as follows an application of the average theorem and the critical swapping rate determined analytically.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
