Skip to main navigation Skip to search Skip to main content

Graph-theoretic method on exponential synchronization of stochastic coupled networks with Markovian switching

  • Chunmei Zhang
  • , Wenxue Li*
  • , Ke Wang
  • *Corresponding author for this work
  • Harbin Institute of Technology Weihai
  • University of Illinois at Urbana-Champaign
  • Northeast Normal University

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the issue of exponential synchronization for a class of stochastic coupled networks with Markovian switching is investigated. Based on some results in graph theory, Lyapunov stability theory and state feedback control technique, several sufficient criteria have been derived to ensure the pth moment exponential stability and almost sure exponential stability for the error network. That is, under these sufficient criteria, drive-response coupled networks can be pth moment exponentially synchronized and almost surely exponentially synchronized, respectively. Finally, stochastic Cohen-Grossberg neural networks with Markovian switching is employed to illustrate our feasible results.

Original languageEnglish
Pages (from-to)37-51
Number of pages15
JournalNonlinear Analysis: Hybrid Systems
Volume15
DOIs
StatePublished - Feb 2015
Externally publishedYes

Keywords

  • Cohen-Grossberg neural networks
  • Exponential synchronization
  • Graph theory
  • Stochastic coupled networks

Fingerprint

Dive into the research topics of 'Graph-theoretic method on exponential synchronization of stochastic coupled networks with Markovian switching'. Together they form a unique fingerprint.

Cite this