Literature DB >> 17677530

Synchronization in time-varying networks: a matrix measure approach.

Maoyin Chen1.   

Abstract

Synchronization in complex networks has attracted lots of interest in various fields. We consider synchronization in time-varying networks, in which the weights of links are time varying. We propose a useful approach--i.e., the matrix measure approach--to derive some analytically sufficient conditions for synchronization in time-varying networks. These conditions are less conservative than many existing synchronization conditions. Theoretical analysis and numerical simulations of different networks verify our main results.

Year:  2007        PMID: 17677530     DOI: 10.1103/PhysRevE.76.016104

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  A Synchronization Criterion for Two Hindmarsh-Rose Neurons with Linear and Nonlinear Coupling Functions Based on the Laplace Transform Method.

Authors:  Chunlin Su; Bin Zhen; Zigen Song
Journal:  Neural Plast       Date:  2021-02-02       Impact factor: 3.599

2.  The Study for Synchronization between Two Coupled FitzHugh-Nagumo Neurons Based on the Laplace Transform and the Adomian Decomposition Method.

Authors:  Bin Zhen; Zigen Song
Journal:  Neural Plast       Date:  2021-04-23       Impact factor: 3.599

  2 in total

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