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Estimating the master stability function from the time series of one oscillator via reservoir computing

Joseph D. Hart*

  • U.S. Naval Research Laboratory, Code 5675, Washington, DC 20375, USA

  • *joseph.hart@nrl.navy.mil

Phys. Rev. E 108, L032201 – Published 19 September, 2023

DOI: https://doi.org/10.1103/PhysRevE.108.L032201

Abstract

The master stability function (MSF) yields the stability of the globally synchronized state of a network of identical oscillators in terms of the eigenvalues of the adjacency matrix. In order to compute the MSF, one must have an accurate model of an uncoupled oscillator, but often such a model does not exist. We present a reservoir computing technique for estimating the MSF given only the time series of a single, uncoupled oscillator. We demonstrate the generality of our technique by considering a variety of coupling configurations of networks consisting of Lorenz oscillators or Hénon maps.

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