Event-triggered communication for passivity and synchronisation of multi-weighted coupled neural networks with and without parameter uncertainties

Yihao Wang, Yanli Huang, Erfu Yang

Research output: Contribution to journalArticle

Abstract

A multi-weighted coupled neural networks (MWCNNs) model with event-triggered communication is studied here. On the one hand, the passivity of the presented network model is studied by utilising Lyapunov stability theory and some inequality techniques, and a synchronisation criterion based on the obtained output-strict passivity condition of MWCNNs with eventtriggered communication is derived. On the other hand, some robust passivity and robust synchronisation criteria based on output-strict passivity of the proposed network with uncertain parameters are presented. At last, two numerical examples are provided to testify the effectiveness of the output-strict passivity and robust synchronisation results.

Original languageEnglish
Pages (from-to)1228-1239
Number of pages12
JournalIET Control Theory and Applications
Volume14
Issue number9
Early online date30 Jan 2020
DOIs
Publication statusPublished - 11 Jun 2020

Keywords

  • multi-weighted coupled neural networks
  • event-triggered communication
  • passivity

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