Towards a general theory for coupling functions allowing persistent synchronization
arXiv:1304.7679 · doi:10.1088/0951-7715/27/3/501
Abstract
We study synchronisation properties of networks of coupled dynamical systems with interaction akin to diffusion. We assume that the isolated node dynamics possesses a forward invariant set on which it has a bounded Jacobian, then we characterise a class of coupling functions that allows for uniformly stable synchronisation in connected complex networks --- in the sense that there is an open neighbourhood of the initial conditions that is uniformly attracted towards synchronisation. Moreover, this stable synchronisation persists under perturbations to non-identical node dynamics. We illustrate the theory with numerical examples and conclude with a discussion on embedding these results in a more general framework of spectral dichotomies.
29 pages, 4 figures
References in corpus (6)
- Synchronization is optimal in non-diagonalizable networks
- Master Stability Functions for Coupled Near-Identical Dynamical Systems
- Inference of Time-Evolving Coupled Dynamical Systems in the Presence of Noise
- Computing covariant vectors, Lyapunov vectors, Oseledets vectors, and dichotomy projectors: a comparative numerical study
- Hub Synchronization in Scale-Free Networks
- Connectivity-Driven Coherence in Complex Networks
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