Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks
Abstract This paper investigates the impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks (CGNN) by means of B-equivalence method. Under certain conditions, the state-dependent impulsive switching systems can be reduced to the fixed-time ones. Furthermore...
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2017-10-01
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Online Access: | http://link.springer.com/article/10.1186/s13662-017-1375-z |
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doaj-f776e8cccfce4d4c943fe6e64711e0b72020-11-24T21:17:06ZengSpringerOpenAdvances in Difference Equations1687-18472017-10-012017112110.1186/s13662-017-1375-zImpacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networksXianxiu Zhang0Chuandong Li1Tingwen Huang2Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest UniversityChongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing, College of Electronic and Information Engineering, Southwest UniversityDepartment of Mathematics, Texas A&M University at QatarAbstract This paper investigates the impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks (CGNN) by means of B-equivalence method. Under certain conditions, the state-dependent impulsive switching systems can be reduced to the fixed-time ones. Furthermore, a stability criterion for the considered CGNN using the proposed comparison system is established. Finally, two numerical examples are provided to illustrate the efficiency of the theoretical results.http://link.springer.com/article/10.1186/s13662-017-1375-zCohen-Grossberg neural networks (CGNN)switchingstate-dependent impulseB-equivalenceglobal stability |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xianxiu Zhang Chuandong Li Tingwen Huang |
spellingShingle |
Xianxiu Zhang Chuandong Li Tingwen Huang Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks Advances in Difference Equations Cohen-Grossberg neural networks (CGNN) switching state-dependent impulse B-equivalence global stability |
author_facet |
Xianxiu Zhang Chuandong Li Tingwen Huang |
author_sort |
Xianxiu Zhang |
title |
Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks |
title_short |
Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks |
title_full |
Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks |
title_fullStr |
Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks |
title_full_unstemmed |
Impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks |
title_sort |
impacts of state-dependent impulses on the stability of switching cohen-grossberg neural networks |
publisher |
SpringerOpen |
series |
Advances in Difference Equations |
issn |
1687-1847 |
publishDate |
2017-10-01 |
description |
Abstract This paper investigates the impacts of state-dependent impulses on the stability of switching Cohen-Grossberg neural networks (CGNN) by means of B-equivalence method. Under certain conditions, the state-dependent impulsive switching systems can be reduced to the fixed-time ones. Furthermore, a stability criterion for the considered CGNN using the proposed comparison system is established. Finally, two numerical examples are provided to illustrate the efficiency of the theoretical results. |
topic |
Cohen-Grossberg neural networks (CGNN) switching state-dependent impulse B-equivalence global stability |
url |
http://link.springer.com/article/10.1186/s13662-017-1375-z |
work_keys_str_mv |
AT xianxiuzhang impactsofstatedependentimpulsesonthestabilityofswitchingcohengrossbergneuralnetworks AT chuandongli impactsofstatedependentimpulsesonthestabilityofswitchingcohengrossbergneuralnetworks AT tingwenhuang impactsofstatedependentimpulsesonthestabilityofswitchingcohengrossbergneuralnetworks |
_version_ |
1726014183795851264 |