Biological systems are often composed of various heterogeneous units. It is an important problem to investigate how this heterogeneity affects the network dynamics, namely synchronization phenomenon. We study the heterogeneous networks of FitzHugh–Nagumo oscillators with diffusive coupling and present sufficient conditions for synchronization in these networks using the Lyapunov functions and Linear Matrix Inequalities (LMIs). Starting consideration with the case of two coupled systems further we extend the results to the networks with greater number of nodes. Numerical examples are presented to illustrate the obtained results.

Original languageEnglish
Pages (from-to)85-91
Number of pages7
JournalChaos, Solitons and Fractals
Volume121
DOIs
StatePublished - Apr 2019

    Research areas

  • Lyapunov function, Neural networks, Nonlinear systems, Oscillators, Synchronization

    Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematics(all)
  • Physics and Astronomy(all)
  • Applied Mathematics

ID: 76026433