Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network

The effect of impulse on stability of neural network is evident not only in performance, that is, impulsive control and impulsive interference. The amount of impulse has a certain impact on stability of neural network. Unlike traditional average impulsive interval, a new strategy is applied in this...

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Main Authors: Yueli Huang, Ailong Wu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10105238/
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author Yueli Huang
Ailong Wu
author_facet Yueli Huang
Ailong Wu
author_sort Yueli Huang
collection DOAJ
description The effect of impulse on stability of neural network is evident not only in performance, that is, impulsive control and impulsive interference. The amount of impulse has a certain impact on stability of neural network. Unlike traditional average impulsive interval, a new strategy is applied in this paper, namely, impulsive density. Based on this strategy, by constructing Lyapunov function, we establish sufficient conditions for mean square asymptotical stability of impulsive stochastic time-varying neural network without time delay. As well as, under this strategy and uniformly asymptotically stable function, by combining trajectory based approach and improved Razumikhin method, mean square exponential stability criterion of impulsive stochastic time-varying neural network with time delay is established. Finally, to demonstrate the viability of our theoretical findings, some instances are provided.
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spelling doaj.art-6430556dfaf347eeb68f0df96fd221a52023-04-25T23:00:31ZengIEEEIEEE Access2169-35362023-01-0111393943940410.1109/ACCESS.2023.326864510105238Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural NetworkYueli Huang0https://orcid.org/0009-0009-6123-1308Ailong Wu1https://orcid.org/0000-0002-8383-5155School of Mathematics and Statistics, Hubei Normal University, Huangshi, ChinaSchool of Mathematics and Statistics, Hubei Normal University, Huangshi, ChinaThe effect of impulse on stability of neural network is evident not only in performance, that is, impulsive control and impulsive interference. The amount of impulse has a certain impact on stability of neural network. Unlike traditional average impulsive interval, a new strategy is applied in this paper, namely, impulsive density. Based on this strategy, by constructing Lyapunov function, we establish sufficient conditions for mean square asymptotical stability of impulsive stochastic time-varying neural network without time delay. As well as, under this strategy and uniformly asymptotically stable function, by combining trajectory based approach and improved Razumikhin method, mean square exponential stability criterion of impulsive stochastic time-varying neural network with time delay is established. Finally, to demonstrate the viability of our theoretical findings, some instances are provided.https://ieeexplore.ieee.org/document/10105238/Impulsive stochastic neural networkimpulsive densityasymptotical stabilityexponential stability
spellingShingle Yueli Huang
Ailong Wu
Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network
IEEE Access
Impulsive stochastic neural network
impulsive density
asymptotical stability
exponential stability
title Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network
title_full Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network
title_fullStr Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network
title_full_unstemmed Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network
title_short Asymptotical Stability and Exponential Stability in Mean Square of Impulsive Stochastic Time-Varying Neural Network
title_sort asymptotical stability and exponential stability in mean square of impulsive stochastic time varying neural network
topic Impulsive stochastic neural network
impulsive density
asymptotical stability
exponential stability
url https://ieeexplore.ieee.org/document/10105238/
work_keys_str_mv AT yuelihuang asymptoticalstabilityandexponentialstabilityinmeansquareofimpulsivestochastictimevaryingneuralnetwork
AT ailongwu asymptoticalstabilityandexponentialstabilityinmeansquareofimpulsivestochastictimevaryingneuralnetwork