Delay-dependent asymptotic stability for neural networks with time-varying delays

We study the dynamical behavior of a class of neural network models with time-varying delays. By constructing suitable Lyapunov functionals, we obtain sufficient delay-dependent criteria to ensure local and global asymptotic stability of the equilibrium of the neural network. Our results are applied...

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Main Authors: Xiaofeng Liao, Xiaofan Yang, Wei Zhang
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/DDNS/2006/91725
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author Xiaofeng Liao
Xiaofan Yang
Wei Zhang
author_facet Xiaofeng Liao
Xiaofan Yang
Wei Zhang
author_sort Xiaofeng Liao
collection DOAJ
description We study the dynamical behavior of a class of neural network models with time-varying delays. By constructing suitable Lyapunov functionals, we obtain sufficient delay-dependent criteria to ensure local and global asymptotic stability of the equilibrium of the neural network. Our results are applied to a two-neuron system with delayed connections between neurons, and some novel asymptotic stability criteria are also derived. The obtained conditions are shown to be less conservative and restrictive than those reported in the known literature. Some numerical examples are included to demonstrate our results.
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institution Kabale University
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language English
publishDate 2006-01-01
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series Discrete Dynamics in Nature and Society
spelling doaj-art-2cb4eb48701940b59cf8a1d0d71a10292025-08-20T03:55:12ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2006-01-01200610.1155/DDNS/2006/9172591725Delay-dependent asymptotic stability for neural networks with time-varying delaysXiaofeng Liao0Xiaofan Yang1Wei Zhang2School of Computer and Information, Chongqing Jiaotong University, Chonqing 400074, ChinaSchool of Computer and Information, Chongqing Jiaotong University, Chonqing 400074, ChinaDepartment of Computer and Modern Education Technology, Chongqing Education College, Chongqing 400030, ChinaWe study the dynamical behavior of a class of neural network models with time-varying delays. By constructing suitable Lyapunov functionals, we obtain sufficient delay-dependent criteria to ensure local and global asymptotic stability of the equilibrium of the neural network. Our results are applied to a two-neuron system with delayed connections between neurons, and some novel asymptotic stability criteria are also derived. The obtained conditions are shown to be less conservative and restrictive than those reported in the known literature. Some numerical examples are included to demonstrate our results.http://dx.doi.org/10.1155/DDNS/2006/91725
spellingShingle Xiaofeng Liao
Xiaofan Yang
Wei Zhang
Delay-dependent asymptotic stability for neural networks with time-varying delays
Discrete Dynamics in Nature and Society
title Delay-dependent asymptotic stability for neural networks with time-varying delays
title_full Delay-dependent asymptotic stability for neural networks with time-varying delays
title_fullStr Delay-dependent asymptotic stability for neural networks with time-varying delays
title_full_unstemmed Delay-dependent asymptotic stability for neural networks with time-varying delays
title_short Delay-dependent asymptotic stability for neural networks with time-varying delays
title_sort delay dependent asymptotic stability for neural networks with time varying delays
url http://dx.doi.org/10.1155/DDNS/2006/91725
work_keys_str_mv AT xiaofengliao delaydependentasymptoticstabilityforneuralnetworkswithtimevaryingdelays
AT xiaofanyang delaydependentasymptoticstabilityforneuralnetworkswithtimevaryingdelays
AT weizhang delaydependentasymptoticstabilityforneuralnetworkswithtimevaryingdelays