全部文献期刊会议图书|学者科研项目
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作者:Sheng Wang , Linshan Wang , Tengda Wei
来源:[J].Methodology and Computing in Applied Probability(IF 0.647), 2017, Vol.19 (3), pp.715-725Springer
摘要:In this paper, well-posedness and asymptotic behaviors for a predator-prey system with Lévy noise are studied by using stochastic analytical techniques. Firstly, the existence and uniqueness of positive global solution with positive initial value is proved. Then, stochastic ...
作者:Ruojun Zhang , Yanping Huang , Tengda Wei
来源:[J].Advances in Difference Equations(IF 0.76), 2015, Vol.2015 (1), pp.1-16Springer
摘要:Abstract(#br)In this paper, a class of Nicholson-type delay systems with impulsive effects is considered. First, an equivalence relation between the solution (or positive periodic solution) of a Nicholson-type delay system with impulsive effects and that of the corresponding Nich...
作者:Tengda Wei , Linshan Wang
来源:[J].Journal of Applied Mathematics(IF 0.834), 2014, Vol.2014DOAJ
摘要:By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the high-order neural networks with S-type distributed time delays are established, which are easy to be verified with a wider adaptive scope.
作者:... Guixin Hu , Tengda Wei , Linshan Wang
来源:[J].Physica A: Statistical Mechanics and its Applications(IF 1.676), 2020, Vol.540Elsevier
摘要:Abstract(#br)This paper concerns stochastic permanence of a hybrid competitive Lotka-Volterra system with Lévy noise. Sufficient conditions of stochastic permanence are obtained by combining stochastic analytical techniques with M-matrix analysis.
作者:Tengda Wei , Ping Lin ...
来源:[J].Neural Networks(IF 1.927), 2019, Vol.116, pp.35-45Elsevier
摘要:Abstract(#br)In this paper, we study stochastic impulsive reaction–diffusion neural networks with S-type distributed delays, aiming to obtain the sufficient conditions for global exponential stability. First, an impulsive inequality involving infinite delay is introduced and...
作者:Tengda Wei , Linshan Wang , Yangfan Wang
来源:[J].Neurocomputing(IF 1.634), 2017, Vol.239, pp.19-27Elsevier
摘要:Abstract(#br)In this paper, we study delayed reaction–diffusion Cohen–Grossberg neural networks driven by infinite dimensional Wiener processes. Based on semigroup theory, existence and uniqueness of mild solutions are proved under global Lipschitz conditions. Then, some cri...
作者:... Guixin Hu , Tengda Wei , Linshan Wang
来源:[J].Physica A: Statistical Mechanics and its Applications(IF 1.676), 2018, Vol.505, pp.919-930Elsevier
摘要:Abstract(#br)This paper concerns the dynamics of a stochastic predator–prey Lotka–Volterra system with S-type distributed time delays. Sufficient conditions for the stability in distribution of the solutions (SDS) to the system are obtained. The results show that the dynamic...
作者:Sheng Wang , Linshan Wang , Tengda Wei
来源:[J].Physica A: Statistical Mechanics and its Applications(IF 1.676), 2018, Vol.495, pp.294-311Elsevier
摘要:Abstract(#br)This paper concerns the dynamics of a stochastic predator–prey system with Markovian switching and Lévy noise. First, the existence and uniqueness of global positive solution to the system is proved. Then, by combining stochastic analytical techniques with M-mat...
作者:Tengda Wei , Yangfan Wang , Linshan Wang
来源:[J].Neural Processing Letters(IF 1.24), 2018, Vol.48 (2), pp.979-994Springer
摘要:Abstract(#br)This paper investigates robust exponential synchronization for stochastic delayed neural networks with reaction–diffusion terms and Markovian jumping parameters driven by infinite dimensional Wiener processes. The novelty of this paper lives in the use of a new ...

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