Nonlinear Sciences – Chaotic Dynamics
Scientific paper
2008-11-05
Euro. Phys. Lett. 85 (2009) 60011.
Nonlinear Sciences
Chaotic Dynamics
11 pages, 2 figures
Scientific paper
10.1209/0295-5075/85/60011
We derive a master stability function (MSF) for synchronization in networks of coupled dynamical systems with small but arbitrary parametric variations. Analogous to the MSF for identical systems, our generalized MSF simultaneously solves the linear stability problem for near-synchronous states (NSS) for all possible connectivity structures. We also derive a general sufficient condition for stable near-synchronization and show that the synchronization error scales linearly with the magnitude of parameter variations.Our analysis underlines significant roles played by the Laplacian eigenvectors in the study of network synchronization of near-identical systems.
Bollt Erik M.
Nishikawa Takashi
Sun Jie
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