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Generalized Mean Square Exponential Stability for Stochastic Functional Differential Equations

open access: yesMathematics
This work focuses on a class of stochastic functional differential equations and neutral stochastic differential functional equations. By using a new approach, some sufficient conditions are obtained to guarantee the generalized mean square exponential ...
Tianyu He, Zhi Li, Tianquan Feng
doaj   +3 more sources

Mean Square Exponential Stability of Stochastic Complex-Valued Neural Networks with Mixed Delays [PDF]

open access: yesComplexity, 2019
This paper investigates the mean square exponential stability problem of a class of complex-valued neural networks with stochastic disturbance and mixed delays including both time-varying delays and continuously distributed delays.
Xiaohui Xu, Jibin Yang, Yanhai Xu
doaj   +4 more sources

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

open access: yesIEEE Access, 2023
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
doaj   +2 more sources

Nonuniform mean-square exponential dichotomies and mean-square exponential stability [PDF]

open access: yesNonlinear Analysis, 2019
In this paper, the existence conditions of nonuniform mean-square exponential dichotomy (NMS-ED) for a linear stochastic differential equation (SDE) are established.
Hailong Zhu, Li Chen
semanticscholar   +6 more sources

Mean-square exponential input-to-state stability of stochastic inertial neural networks

open access: yesAdvances in Difference Equations, 2021
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
doaj   +2 more sources

Mean square exponential and non-exponential asymptotic stability of impulsive stochastic Volterra equations [PDF]

open access: yesJournal of Inequalities and Applications, 2011
In this article, some inequalities on convolution equations are presented firstly. The mean square stability of the zero solution of the impulsive stochastic Volterra equation is studied by using obtained inequalities on Liapunov function, including mean
Zhao Dianli, Han Dong
doaj   +3 more sources

Mean square exponential stability of stochastic delay cellular neural networks

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2013
By constructing suitable Lyapunov functionals and combining with matrix inequality technique, a new simple sufficient condition is presented for the exponential stability of stochastic cellular neural networks with discrete delays. The condition contains
Yingxin Guo
doaj   +3 more sources

Mean Square Exponential Stability of Stochastic Switched System with Interval Time-Varying Delays [PDF]

open access: yesAbstract and Applied Analysis, 2012
This paper is concerned with mean square exponential stability of switched stochastic system with interval time-varying delays. The time delay is any continuous function belonging to a given interval, but not necessary to be differentiable.
Manlika Rajchakit, Grienggrai Rajchakit
doaj   +3 more sources

On the Exponential Stability of Stochastic Perturbed Singular Systems in Mean Square

open access: yesApplied Mathematics & Optimization, 2021
The approach of Lyapunov functions is one of the most efficient ones for the investigation of the stability of stochastic systems, in particular, of singular stochastic systems.
T. Caraballo, Faten Ezzine, M. Hammami
semanticscholar   +4 more sources

Mean-square exponential input-to-state stability of stochastic quaternion-valued neural networks with time-varying delays

open access: yesAdvances in Difference Equations, 2021
In this paper, we first consider the stability problem for a class of stochastic quaternion-valued neural networks with time-varying delays. Next, we cannot explicitly decompose the quaternion-valued systems into equivalent real-valued systems; by using ...
Lihua Dai, Yuanyuan Hou
doaj   +2 more sources

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