Mean Square Stability of Impulsive Stochastic Differential Systems [PDF]
Based on Lyapunov-Krasovskii functional method and stochastic analysis theory, we obtain some new delay-dependent criteria ensuring mean square stability of a class of impulsive stochastic equations.
Shujie Yang, Bao Shi, Mo Li
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Nonuniform mean-square exponential dichotomies and mean-square exponential stability [PDF]
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Hailong Zhu, Li Chen
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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.
Yueli Huang, Ailong Wu
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Mean Square Exponential Stability of Stochastic Delay Differential Systems with Logic Impulses
This paper focuses on the mean square exponential stability of stochastic delay differential systems with logic impulses. Firstly, a class of nonlinear stochastic delay differential systems with logic impulses is constructed. Then, the logic impulses are
Chunxiang Li +4 more
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Asymptotical Mean Square Stability of Cohen-Grossberg Neural Networks with Random Delay
The asymptotical mean-square stability analysis problem is considered for a class of Cohen-Grossberg neural networks (CGNNs) with random delay. The evolution of the delay is modeled by a continuous-time homogeneous Markov process with a finite number of
Zhang Hanjun, Zou Jiezhong, Zhu Enwen
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Mean-square exponential input-to-state stability of stochastic inertial neural networks
By introducing some parameters perturbed by white noises, we propose a class of stochastic inertial neural networks in random environments. Constructing two Lyapunov–Krasovskii functionals, we establish the mean-square exponential input-to-state ...
Wentao Wang, Wei Chen
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Mean Square Exponential Stability of a Class of Stochastic Rcellular Neural Networks
In this paper, the problem of the mean square exponential stability of a class of impulsive stochastic reactiondiffusion cellular neural networks (CNNs) with transmission delay and distributed delay, and parameter uncertainties is discussed.
LIU Xin, CHEN Lili, HUANG Shuai
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Mean square exponential stability of stochastic function differential equations in the G-framework
This research focuses on the stochastic functional differential equations driven by G-Brownian motion (G-SFDEs) with infinite delay. It is proved that the trivial solution of a G-SFDE with infinite delay is exponentially stable in mean square. An example
Li Guangjie, Hu Zhipei
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Mean-Square Stability of Uncertain Delayed Stochastic Systems Driven by G-Brownian Motion
This paper investigates the mean-square stability of uncertain time-delay stochastic systems driven by G-Brownian motion, which are commonly referred to as G-SDDEs.
Zhengqi Ma +3 more
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Mean-square stability analysis of approximations of stochastic differential equations in infinite dimensions [PDF]
The (asymptotic) behaviour of the second moment of solutions to stochastic differential equations is treated in mean-square stability analysis. This property is discussed for approximations of infinite-dimensional stochastic differential equations and ...
Lang, Annika +2 more
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