随机Volterra积分方程相容解的稳定性

本文考虑了随机Volterra积分方程相容解的稳定性.应用Lyapunov第二方法,并以推广的Ito公式为工具,给出了随机Volterra积分方程相容解的几乎确定指数稳定和矩指数稳定的充分性原则.     

随机广义介质方程的稳定性(英文)

本文研究一类由Wiener噪声驱动的随机广义介质方程,证明了矩指数稳定和依轨道指数稳定.     

非线性梁方程初边值问题的能量衰减估计

本文讨论了具阻尼和外力项的非线性梁方程初边值问题的能量衰减估计和外力项的关系,运用一个新的比较不等式,得到了能量和外力项有相同的衰减指数.     

不确定中立型线性随机时滞系统的鲁棒稳定性

建立了中立型随机微分时滞方程的LaSalle不变原理,然后应用LaSalle不变原理讨论了不确定中立型随机时滞系统的随机渐近稳定和几乎必然指数稳定的代数判据, 同时给出示例说明结果的有效性．     

G-Brown运动驱动的中立型随机时滞微分方程的指数稳定性

研究了一类G-Brown运动驱动的中立型随机时滞微分方程的指数稳定性.在G-框架意义下,运用合适的Lyapunov-Krasovskii泛函,中立型时滞微分方程理论以及随机分析技巧,证明了所研究方程平凡解的p-阶矩指数稳定性,得到了所研究方程平凡解是p-阶矩指数稳定的充分条件.最后通过例子说明所得的结果.     

带非线性噪音的随机g-Navier-Stokes方程的后向弱紧均值动力学

考虑由无限维柱形噪声驱动的随机二维g-Navier-Stokes方程的均值动力学,且该方程具有非线性扩散项和依赖于时间的外力项.当非线性扩散项是Lipschitz连续的并且外力项是局部可积时,可得到一个均值随机动力系统(RDS).若外力项是缓增的,均值RDS在偶幂的Bochner空间中有唯一的弱拉回均值吸引子.此外,通过使用Bochner空间相对于时间的单调性,证明若外力项是后向缓增的,则弱拉回均值吸引子的后向并集在渐进Bochner空间中是定义明确且弱紧的.最后,当外力项为零、周期或递增时分别给出后向弱紧弱吸引子的三个例子.     

反应扩散递归神经网络全局指数稳定的鲁棒分析

主要讨论反应扩散递归神经阿络全局指数稳定的鲁棒分析.给定反应扩散递归神经网络是全局指数稳定,首先,在此神经网络基础上考虑噪音扰动,利用超越方程得到噪音密度的上界,在上界范围内,带噪音的反应扩散递归神经网络仍然是全局指数稳定.进一步,在反应扩散递归神经网络基础上同时考虑噪音扰动和连接权参数不确定,利用超越方程得到连接权参数和噪音密度上界,在两个参数描述的超越方程范围内,带噪音和连接权参数不确定的反应扩散递归神经网络仍然是全局指数稳定.最后给出数值算例证实相关理论的有效性.     

不动点和中立型随机时滞微分方程的指数p-稳定

本文研究了一个具有变时滞线性中立型随机微分方程的指数p-稳定性.利用小动点定理,在系数函数不要求是取确定值的弱条件下得到了方程指数p-稳定的充分条件,得到了比luo更一般的结论,推广了他的结果.最后,举例说叫本文结果的有效性.     

随机窄带噪声作用下非线性碰撞振动系统的稳态响应研究

研究了随机参激作用下一个非线性碰撞振动系统的随机响应.基于Krylov-Bogoliubov平均法,借助第一类改进的Bessel函数,得到了决定平凡解的几乎确定稳定性的最大Lyapunov指数.模拟结果发现,碰撞振动系统的最大Lyapunov指数特性不同于一般的非碰撞系统,其最小值为负.同时,在确定性情形下,得到了骨架曲线方程和不稳定区域的临界方程.进一步,利用矩方法,讨论了系统的一阶和二阶非平凡稳态矩,发现了碰撞振动系统中有频率岛现象的存在.最后,借助FokkerPlanck-Kolmogorov方程,利用有限差分法,讨论了碰撞振动系统中存在的随机跳现象.在随机强度较小时,稳态概率密度集中于响应振幅的非平凡分支;但是随着随机强度的增加,平凡稳态解的概率会变大.     

非自治随机FitzHugh-Nagumo系统的随机一致指数吸引子

本文首先给出了非自治随机动力系统的随机一致指数吸引子的概念及其存在性判据,其次证明了Rⁿ上的带加法噪声和拟周期外力的FitzHugh-Nagumo系统的随机一致指数吸引子的存在性.     

A graph‐theoretic approach to stability of neutral stochastic coupled oscillators network with time‐varying delayed coupling

In this paper, a graph‐theoretic approach for checking exponential stability of the system described by neutral stochastic coupled oscillators network with time‐varying delayed coupling is obtained. Based on graph theory and Lyapunov stability theory, delay‐dependent criteria are deduced to ensure moment exponential stability and almost sure exponential stability of the addressed system, respectively. These criteria can show how coupling topology, time delays, and stochastic perturbations affect exponential stability of such oscillators network. This method may also be applied to other neutral stochastic coupled systems with time delays. Finally, numerical simulations are presented to show the effectiveness of theoretical results. Copyright © 2013 John Wiley & Sons, Ltd.     

Exponential stability for stochastic neutral partial functional differential equations

In this paper, we consider a class of stochastic neutral partial functional differential equations in a real separable Hilbert space. Some conditions on the existence and uniqueness of a mild solution of this class of equations and also the exponential stability of the moments of a mild solution as well as its sample paths are obtained. The known results in Govindan [T.E. Govindan, Almost sure exponential stability for stochastic neutral partial functional differential equations, Stochastics 77 (2005) 139-154], Liu and Truman [K. Liu, A. Truman, A note on almost sure exponential stability for stochastic partial functional differential equations, Statist. Probab. Lett. 50 (2000) 273-278] and Taniguchi [T. Taniguchi, Almost sure exponential stability for stochastic partial functional differential equations, Stoch. Anal. Appl. 16 (1998) 965-975; T. Taniguchi, Asymptotic stability theorems of semilinear stochastic evolution equations in Hilbert spaces, Stochastics 53 (1995) 41-52] are generalized and improved.     

Convergence and Mean-Square Stability of Exponential Euler Method for Semi-Linear Stochastic Delay Integro-Differential Equations

In this paper, the numerical methods for semi-linear stochastic delay integro-differential equations are studied. The uniqueness, existence and stability of analytic solutions of semi-linear stochastic delay integro-differential equations are studied and some suitable conditions for the mean-square stability of the analytic solutions are also obtained. Then the numerical approximation of exponential Euler method for semi-linear stochastic delay integro-differential equations is constructed and the convergence and the stability of the numerical method are studied. It is proved that the exponential Euler method is convergent with strong order $\frac{1}{2}$ and can keep the mean-square exponential stability of the analytical solutions under some restrictions on the step size. In addition, numerical experiments are presented to confirm the theoretical results.     

Exponential stability of impulsive stochastic functional differential equations

In this paper, we investigate the pth moment and almost sure exponential stability of impulsive stochastic functional differential equations with finite delay by using Lyapunov method. Several stability theorems of impulsive stochastic functional differential equations with finite delay are derived. These new results are employed to impulsive stochastic equations with bounded time-varying delays and stochastically perturbed equations. Meanwhile, an example and simulations are given to show that impulses play an important role in pth moment and almost sure exponential stability of stochastic functional differential equations with finite delay.     

Convergence dynamics of stochastic reaction–diffusion recurrent neural networks with continuously distributed delays

Convergence dynamics of reaction–diffusion recurrent neural networks (RNNs) with continuously distributed delays and stochastic influence are considered. Some sufficient conditions to guarantee the almost sure exponential stability, mean value exponential stability and mean square exponential stability of an equilibrium solution are obtained, respectively. Lyapunov functional method, M-matrix properties, some inequality technique and nonnegative semimartingale convergence theorem are used in our approach. These criteria ensuring the different exponential stability show that diffusion and delays are harmless, but random fluctuations are important, in the stochastic continuously distributed delayed reaction–diffusion RNNs with the structure satisfying the criteria. Two examples are also given to demonstrate our results.     

Incremental stability analysis of stochastic hybrid systems

In this paper, we study the incremental stability of stochastic hybrid systems, based on the contraction theory, and derive sufficient conditions of global stability for such systems. As a special case, the conditions to ensure the second moment exponential stability which is also called exponential stability in the mean square of stochastic hybrid systems are obtained. The theoretical results in this paper extend previous works from deterministic or stochastic systems to general stochastic hybrid systems, which can be applied to qualitative and quantitative analysis of many physical and biological phenomena. An illustrative example is given to show the effectiveness of our results.     

Exponential stability of second-order stochastic evolution equations with Poisson jumps

This paper is concerned with the exponential stability problem of second-order nonlinear stochastic evolution equations with Poisson jumps. By using the stochastic analysis theory, a set of novel sufficient conditions are derived for the exponential stability of mild solutions to the second-order nonlinear stochastic differential equations with infinite delay driven by Poisson jumps. An example is provided to demonstrate the effectiveness of the proposed result.     

Markov调制奇异随机微分方程的指数稳定性

建立了Markov调制奇异随机微分方程的p阶指数稳定性和几乎必然指数稳定性的充要条件．     

Mean-square exponential stability of stochastic theta methods for nonlinear stochastic delay integro-differential equations

This paper deals with the mean-square exponential stability of stochastic theta methods for nonlinear stochastic delay integro-differential equations. It is shown that the stochastic theta methods inherit the mean-square exponential stability property of the underlying system. Moreover, the backward Euler method is mean-square exponentially stable with less restrictions on the step size. In addition, numerical experiments are presented to confirm the theoretical results.     

与年龄相关的模糊随机种群扩散系统的指数稳定性

讨论了一类与年龄相关的模糊随机种群扩散系统,系统受两种不确定性因素的影响,即随机和模糊.在有界和Lipschitz条件下,利用Ito公式和Gronwall引理,建立了均方意义下与年龄相关的模糊随机种群扩散系统指数稳定性的判定准则并通过数值例子对所给出的结论进行了验证.