Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms

This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms as well as Dirichlet boundary condition. By means of Poincaré inequality and Gronwall-Bellman-type impulsive integral inequality, we summarize some new and concise suff...

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Main Authors: Jinhua Huang, Jiqing Liu, Guopeng Zhou
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2013/409758
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author Jinhua Huang
Jiqing Liu
Guopeng Zhou
author_facet Jinhua Huang
Jiqing Liu
Guopeng Zhou
author_sort Jinhua Huang
collection DOAJ
description This work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms as well as Dirichlet boundary condition. By means of Poincaré inequality and Gronwall-Bellman-type impulsive integral inequality, we summarize some new and concise sufficient conditions ensuring the global exponential stability of equilibrium point. The proposed criteria are relevant to the diffusion coefficients and the smallest positive eigenvalue of corresponding Dirichlet Laplacian. In conclusion, two examples are illustrated to demonstrate the effectiveness of our obtained results.
format Article
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institution Kabale University
issn 1085-3375
1687-0409
language English
publishDate 2013-01-01
publisher Wiley
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series Abstract and Applied Analysis
spelling doaj-art-855bfe6ea1e1425d86861c718baf110b2025-02-03T06:13:27ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/409758409758Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion TermsJinhua Huang0Jiqing Liu1Guopeng Zhou2College of Electric and Electronic Engineering, Wuhan Institute of Shipbuilding Technology, Wuhan, Hubei 430050, ChinaCollege of Electric and Electronic Engineering, Wuhan Institute of Shipbuilding Technology, Wuhan, Hubei 430050, ChinaCollege of Electronic and Information Engineering, Hubei University of Science and Technology, Xianning, Hubei 437100, ChinaThis work concerns the stability of impulsive Cohen-Grossberg neural networks with time-varying delays and reaction-diffusion terms as well as Dirichlet boundary condition. By means of Poincaré inequality and Gronwall-Bellman-type impulsive integral inequality, we summarize some new and concise sufficient conditions ensuring the global exponential stability of equilibrium point. The proposed criteria are relevant to the diffusion coefficients and the smallest positive eigenvalue of corresponding Dirichlet Laplacian. In conclusion, two examples are illustrated to demonstrate the effectiveness of our obtained results.http://dx.doi.org/10.1155/2013/409758
spellingShingle Jinhua Huang
Jiqing Liu
Guopeng Zhou
Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
Abstract and Applied Analysis
title Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
title_full Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
title_fullStr Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
title_full_unstemmed Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
title_short Stability of Impulsive Cohen-Grossberg Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
title_sort stability of impulsive cohen grossberg neural networks with time varying delays and reaction diffusion terms
url http://dx.doi.org/10.1155/2013/409758
work_keys_str_mv AT jinhuahuang stabilityofimpulsivecohengrossbergneuralnetworkswithtimevaryingdelaysandreactiondiffusionterms
AT jiqingliu stabilityofimpulsivecohengrossbergneuralnetworkswithtimevaryingdelaysandreactiondiffusionterms
AT guopengzhou stabilityofimpulsivecohengrossbergneuralnetworkswithtimevaryingdelaysandreactiondiffusionterms