Event-triggered passivity of multi-weighted coupled delayed reaction-diffusion memristive neural networks with fixed and switching topologies

Yanli Huang, Shanrong Lin, Erfu Yang

Research output: Contribution to journalArticle

Abstract

This paper solves the event-triggered passivity problem for multiple-weighted coupled delayed reaction-diffusion memristive neural networks (MWCDRDMNNs) with fixed and switching topologies. On the one side, by designing appropriate event-triggered controllers, several passivity criteria for MWCDRDMNNs with fixed topology are derived based on the Lyapunov functional method and some inequality techniques. Moreover, some adequate conditions for ensuring asymptotical stability of the event-triggered passive network are presented. On the other side, we take the switching topology in network model into consideration, and investigate the event-triggered passivity and passivity-based synchronization for MWCDRDMNNs with switching topology. Finally, two examples with numerical simulation results are provided to illustrate the effectiveness of the obtained theoretical results.

Original languageEnglish
Article number105292
Number of pages28
JournalCommunications in Nonlinear Science and Numerical Simulation
Volume89
Early online date18 Apr 2020
DOIs
Publication statusE-pub ahead of print - 18 Apr 2020

Keywords

  • event-triggered control
  • synchronization
  • switching topology
  • multi-weights
  • reaction-diffusion terms
  • passivity

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