Synchronisation of generalised stochastic neural networks with delays and reaction-diffusion terms on timescales
type: Item
instance of: scholarly article
title: Synchronisation of generalised stochastic neural networks with delays and reaction-diffusion terms on timescales
zbMATH Open document ID: 1375.35642
DOI: 10.1504/IJDSDE.2015.071005
author: Xiaofang Meng
author: Yongkun Li
published in: International Journal of Dynamical Systems and Differential Equations
publication date: 2016-05-20T00:00:00Z
review text: Summary: This paper investigates the synchronisation problem of generalised stochastic neural networks with mixed time-varying delays and reaction-diffusion terms on timescales. Base on Lyapunov stability theory and inequality skills, we establish some sufficient conditions to ensure the global exponential synchronisation of generalised stochastic neural networks with mixed time-varying delays and reaction-diffusion terms on timescales. Finally, we give an example to illustrate the effectiveness of our results.
Mathematics Subject Classification ID: 35R60
Mathematics Subject Classification ID: 35K51
Mathematics Subject Classification ID: 35K57
Mathematics Subject Classification ID: 26E70
zbMATH DE Number: 6583254
zbMATH Keywords: global exponential synchronisation
zbMATH Keywords: stochastic neural networks
zbMATH Keywords: delays
zbMATH Keywords: timescales
MaRDI profile type: Publication
description: scientific article; zbMATH DE number 6583254