Passivity and synchronization of coupled different dimensional delayed reaction-diffusion neural networks with dirichlet boundary conditions

Shanrong Lin, Yanli Huang, Erfu Yang

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Abstract

Two types of coupled different dimensional delayed reaction-diffusion neural network (CDDDRDNN) models without and with parametric uncertainties are analyzed in this paper. On the one hand, passivity and synchronization of the raised network model with certain parameters are studied through exploiting some inequality techniques and Lyapunov stability theory, and some adequate conditions are established. On the other hand, the problems of robust passivity and robust synchronization of CDDDRDNNs with parameter uncertainties are solved. Finally, two numerical examples are given to testify the effectiveness of the derived passivity and synchronization conditions.

Original languageEnglish
Article number4987962
Number of pages21
JournalComplexity
Volume2020
DOIs
Publication statusPublished - 8 Jan 2020

Keywords

  • complex networks
  • synchronization
  • derived passivity

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