Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks

Abstract In this paper, the pth moment exponential stability for a class of impulsive delayed Hopfield neural networks is investigated. Some concise algebraic criteria are provided by a new method concerned with impulsive integral inequalities. Our discussion neither requires a complicated Lyapunov...

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Main Authors: Yutian Zhang, Guici Chen, Qi Luo
Format: Article
Language:English
Published: SpringerOpen 2021-06-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:https://doi.org/10.1186/s13660-021-02640-9
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spelling doaj-b49898b0808d4ad4a0564c02537030b32021-07-04T11:37:26ZengSpringerOpenJournal of Inequalities and Applications1029-242X2021-06-012021111310.1186/s13660-021-02640-9Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networksYutian Zhang0Guici Chen1Qi Luo2School of Mathematics & Statistics, Nanjing University of Information Science & TechnologyHubei Province Key Laboratory of System Science in Metallurgical Process, Wuhan University of Science & TechnologySchool of Information & Control, Nanjing University of Information Science & TechnologyAbstract In this paper, the pth moment exponential stability for a class of impulsive delayed Hopfield neural networks is investigated. Some concise algebraic criteria are provided by a new method concerned with impulsive integral inequalities. Our discussion neither requires a complicated Lyapunov function nor the differentiability of the delay function. In addition, we also summarize a new result on the exponential stability of a class of impulsive integral inequalities. Finally, one example is given to illustrate the effectiveness of the obtained results.https://doi.org/10.1186/s13660-021-02640-9pth moment exponential stabilityIntegral inequalityImpulseHopfield neural networksDelay
collection DOAJ
language English
format Article
sources DOAJ
author Yutian Zhang
Guici Chen
Qi Luo
spellingShingle Yutian Zhang
Guici Chen
Qi Luo
Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks
Journal of Inequalities and Applications
pth moment exponential stability
Integral inequality
Impulse
Hopfield neural networks
Delay
author_facet Yutian Zhang
Guici Chen
Qi Luo
author_sort Yutian Zhang
title Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks
title_short Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks
title_full Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks
title_fullStr Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks
title_full_unstemmed Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks
title_sort inequalities and pth moment exponential stability of impulsive delayed hopfield neural networks
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1029-242X
publishDate 2021-06-01
description Abstract In this paper, the pth moment exponential stability for a class of impulsive delayed Hopfield neural networks is investigated. Some concise algebraic criteria are provided by a new method concerned with impulsive integral inequalities. Our discussion neither requires a complicated Lyapunov function nor the differentiability of the delay function. In addition, we also summarize a new result on the exponential stability of a class of impulsive integral inequalities. Finally, one example is given to illustrate the effectiveness of the obtained results.
topic pth moment exponential stability
Integral inequality
Impulse
Hopfield neural networks
Delay
url https://doi.org/10.1186/s13660-021-02640-9
work_keys_str_mv AT yutianzhang inequalitiesandpthmomentexponentialstabilityofimpulsivedelayedhopfieldneuralnetworks
AT guicichen inequalitiesandpthmomentexponentialstabilityofimpulsivedelayedhopfieldneuralnetworks
AT qiluo inequalitiesandpthmomentexponentialstabilityofimpulsivedelayedhopfieldneuralnetworks
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