Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays

Jie Hou, Yanli Huang, Erfu Yang

Research output: Contribution to journalArticle

Abstract

The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are investigated in this paper. Firstly, the finite-time anti-synchronization of MWCNNs with fixed topology and switching topology is analyzed respectively by utilizing Lyapunov functional approach as well as some inequality techniques, and several anti-synchronization criteria are put forward for the considered networks. Furthermore, when the parameter uncertainties appear in MWCNNs, some conditions for ensuring robust finite-time anti-synchronization are obtained. Similarly, we also consider the finite-time anti-synchronization and robust finite-time anti-synchronization for MWCNNs with coupling delays under fixed and switched topologies respectively. Lastly, two numerical examples with simulations are provided to confirm the effectiveness of these derived results.
Original languageEnglish
Pages (from-to)2871-2898
Number of pages28
JournalNeural Processing Letters
Volume50
Issue number3
Early online date25 Jun 2019
DOIs
Publication statusPublished - 1 Dec 2019

Keywords

  • finite-time anti-synchronization
  • coupled neural networks
  • multiple weights
  • robust anti-synchronization
  • switching topology

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