Results 11 to 20 of about 309,715 (264)
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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A Mean Square Stability Test for Markovian Jump Linear Systems
This paper proposes a test for the mean square stability problem for discrete-time linear systems subject to random jumps in the parameters, described by an underlying finite-state Markov chain.
C. Nespoli, J.B.R. do Val
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Mean square exponential stability of stochastic delay cellular neural networks
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
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Mean-square stability and convergence of compensated split-step θ-method for nonlinear jump diffusion systems [PDF]
In this paper, the existence and uniqueness of the numerical solution of the Stochastic Differential Equations with Jumps(SDEwJs) under the one side Lipschitz conditions and polynomial growth conditions are presented.
Ali Soheili +2 more
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In this paper, quantitative mean square exponential stability and stabilization of Itô-type linear stochastic Markovian jump systems with Brownian and Poisson noises are investigated.
Gaizhen Chang +4 more
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In this paper, the mean-square strong stability and stabilization of discrete-time Markov jump systems are studied. Firstly, the definition of mean-square strong stability is given, and the necessary and sufficient conditions for mean-square strong ...
Zhiguo Yan, Fangxu Su
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Stability of numerical method for semi-linear stochastic pantograph differential equations
As a particular expression of stochastic delay differential equations, stochastic pantograph differential equations have been widely used in nonlinear dynamics, quantum mechanics, and electrodynamics.
Yu Zhang, Longsuo Li
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On the Exponential Stability of Stochastic Perturbed Singular Systems in Mean Square
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. The main objective of the paper is the analysis of the stability of stochastic perturbed singular systems by using Lyapunov techniques under the assumption that the ...
Tomás Caraballo +2 more
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In this paper a model of Hopfield’s graded response neural network is investigated. A network whose neurons are subject to a certain impulsive state displacement at random times is considered. The model is set up and studied.
R. Agarwal +3 more
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The Improved Stability Analysis of Numerical Method for Stochastic Delay Differential Equations
In this paper, the improved split-step θ method, named the split-step composite θ method, is proposed to study the mean-square stability for stochastic differential equations with a fixed time delay.
Yu Zhang, Enying Zhang, Longsuo Li
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