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Stochastically Globally Exponential Stability of Stochastic Impulsive Differential Systems with Discrete and Infinite Distributed Delays Based on Vector Lyapunov Function

机译：基于矢量Lyapunov函数的离散和无限分布延迟随机脉冲差动系统的随机全球指数稳定性

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Xiaoyan Liu; Quanxin Zhu;
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1. New Criteria on Exponential Stability for Stochastic Delay Differential Systems Based on Vector Lyapunov Function [J] . Lei Liu IEEE Transactions on Systems, Man, and Cybernetics . 2017,第11期

机译：基于向量Lyapunov函数的随机时滞微分系统指数稳定性的新判据
2. Exponential stability of hybrid stochastic functional differential systems with delayed impulsive effects: average impulsive interval approach [J] . Li Dianqiang, Cheng Pei, He Shuping Mathematical Methods in the Applied Sciences . 2017,第11期

机译：延迟冲动效应的杂交随机功能差异系统的指数稳定性：平均脉冲间隔方法
3. Vector-Lyapunov-Function-Based Input-to-State Stability of Stochastic Impulsive Switched Time-Delay Systems [J] . Ren Wei, Xiong Junlin IEEE Transactions on Automatic Control . 2019,第2期

机译：基于向量-Lyapunov函数的随机脉冲切换时滞系统的输入至状态稳定性
4. Exponential stability of stochastic impulsive switched delayed systems based on vector Lyapunov functions [C] . Wei Ren, Junlin Xiong Asian Control Conference . 2017

机译：基于向量Lyapunov函数的随机脉冲切换时滞系统的指数稳定性
5. Stability of stochastic time-delayed systems with application to delayed feedback attitude control of rigid spacecraft [D] . Samiei, Ehsan 2015

机译：随机时滞系统的稳定性及其在刚性航天器延迟反馈姿态控制中的应用
6. Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage mixed time delays and α-inverse Hölder activation functions [O] . C. Maharajan, R. Raja, Jinde Cao, -1

机译：具有泄漏混合时滞和α-逆Hölder激活函数的Markovian跳跃随机脉冲不确定BAM神经网络的全局指数稳定性
7. Existence, uniqueness and stability results of impulsive stochastic semilinear neutral functional differential equations with infinite delays [O] . Anguraj Annamalai, Vinodkumar A. 2009

机译：具有无限时滞的脉冲随机半线性中立型泛函微分方程的存在性，唯一性和稳定性结果

Stochastically Globally Exponential Stability of Stochastic Impulsive Differential Systems with Discrete and Infinite Distributed Delays Based on Vector Lyapunov Function

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