能源供需随机系统的稳定性研究

研究了江苏省西部能源供需随机系统的稳定性.主要是基于一维扩散过程的奇异边界理论,应用摄动方法研究系统的随机分岔行为.研究结果表明随机因素以及参数的选择会使系统发生分岔行为,从而使系统的稳定性发生质的变化.于是,可以通过调节参数降低发生分岔的概率,使系统处于稳定的发展中.     

一类随机系统的有限时间镇定

讨论随机系统的有限时间镇定问题.首先提出了随机系统有限时间稳定的概念;其次证明了随机系统有限时间稳定的Lyapunov定理;然后,讨论了一类随机系统的镇定问题.     

随机混合动态系统的状态反馈控制

针对一类以有限齐次马氏链δ(k)作为切换信号的随机混合系统,首先,通过构造随机混合Lyapunov函数,得到整个随机混合系统渐近稳定的充分条件.然后,引入可调转移概率等相关概念,通过对有限齐次马氏链δ(k)及各子系统加入控制,以实现状态反馈控制.进一步,得到随机混合闭环系统渐近稳定的充分条件.     

带有双噪声的随机SI传染病模型的稳定性与分岔

建立一个带有双噪声的随机SI传染病模型,运用随机平均法及非线性动力学理论对模型进行化简．通过Lyapunov指数和奇异边界理论,得到模型的局部随机稳定性和全局随机稳定性的条件．根据不变测度的Lyapunov指数和平稳概率密度,分析模型的随机分岔．结果表明,系统在随机因素作用下变得更敏感、更不稳定.     

白噪声作用下统一混沌系统的脉冲同步

考察了白噪声和脉冲信号联合作用下统一混沌系统的随机渐近稳定性问题,得到该随机脉冲系统的比较系统,从而由该确定性比较系统的稳定性得到原随机脉冲系统的随机渐近稳定性.并从理论上得到能使该随机脉冲系统随机渐近稳定的参数取值范围,最后用数值仿真验证了理论结果的正确性.     

比较原理与一类具有时滞和马尔科夫切换的随机抛物方程组的稳定性分析（英文）北大核心CSCD

研究一类具有时滞和马尔科夫切换的随机抛物方程组的均方稳定性.通过建立比较原理,运用时滞微分不等式和随机分析技巧,获得了该系统的均方稳定、均方一致稳定、均方渐近稳定和均方指数稳定.最后,给出了主要定理的一个应用实例.     

线性随机延迟积分微分方程Euler-Maruyama方法的稳定性

本文研究一类线性随机延迟积分微分方程Euler-Maruyama方法的MS-稳定性.首先,我们讨论方程真解的均方指数稳定性条件.然后,在此假设条件下,证明了带有复合梯形公式的Euler-Maruyama方法是MS-稳定的.最后,数值试验验证了本文的结论.     

一类奇异跳跃系统的鲁棒稳定性研究

研究了一类奇异跳跃系统的鲁棒稳定和镇定问题.在所研究的系统中,假设系数和转移率的不确定项范数有界.通过构造Lyapunov-Krasovskii函数,得到的充分条件可以保证系统在一定程度不确定性的影响下,是正则,无脉冲和均值意义下随机稳定的.最后,算例说明了所给方法的有效性.     

具接种的随机SIQR流行病模型中平衡点的稳定性分析

基于对具接种的确定性SIQR流行病模型的研究,我们引进了随机扰动,建立随机SIQR流行病模型.通过构造Lyapunov函数,运用Ito公式,得到了随机系统的无病平衡点和地方病平衡点随机渐近稳定的充分条件.进一步猜想当随机扰动的强度较大时,平衡点的稳定性将会被破坏.最后,利用数值仿真验证了所得结论及猜想的正确性.     

随机平衡系统解的存在性

本文提出了一种新的随机平衡系统模型,它是平衡系统的随机化模型,而平衡系统模型本身是变分不等式系统的推广.我们给出了随机化平衡系统解的存在性结果.作为应用我们得到了随机变分不等式系统解的存在性结果.值得注意的是,我们还同时获得了经典Nash均衡的随机化结果.     

Existence of solutions and optimal control for reflecting stochastic differential equations with applications to population control theory *

For the d–dimensional reflecting stochastic differential equations (1) with non-smooth boundary and unbounded domain the existence of a strong solution, (weak solution) is obtained under the conditions that the coefficients are less than linear growth and they are non-Lipschitz, (and the diffusion coefficient is non-degenerate, the drift coefficient is bounded and measurable only). Moreover, the Girsanov theorem and the martingale representation theorem with respect to system (1) are also derived. Then by using the Ekeland lemma and the martingale method the existence, necessary and sufficient conditions for an optimal control and an optimal control are obtained. The results are then applied to solve an optimal control problem for a stochastic population model     

On the Impossibility of Stabilization of Solutions of a System of Linear Deterministic Difference Equations by Perturbations of Its Coefficients by Stochastic Processes of “White-Noise” Type

We consider the problem of mean-square stabilization of solutions of a system of linear deterministic difference equations with discrete time by perturbations of its coefficients by a stochastic white-noise process. The answer is negative and is based on the analysis of the corresponding matrix algebraic Sylvester equation introduced earlier by the author in the theory of stability of stochastic systems. At the same time, we answer the same question for a vector matrix system of linear difference equations with continuous time and for a vector matrix system of differential equations.     

Stability of a class of stochastic distributed parameter systems with random boundary conditions

In this article we consider the question of stability of a class of stochastic systems governed by elliptic and parabolic second order partial differential equations with Neumann boundary conditions. Results on the “stability in the mean” are given in Theorems 1 and 2, and those on “almost sure stability” are presented in Theorems 3 and 4. These results are proved under the assumption that the perturbing forces are measurable stochastic processes defined on $\text{I × Ω}$. In Theorem 5 it is shown that the proofs require only minor modification to admit progressively measurable (predictable or optional) processes.     

Stability of multistage stochastic programming

In this paper, we study the stability of multistage stochastic programming with recourse in a way that is different from that used in studying stability of two-stage stochastic programs. Here, we transform the multistage programs into mathematical programs in the space ⁿ ×L _p with a simple objective function and multistage stochastic constraints. By investigating the continuity of the multistage multifunction defined by the multistage stochastic constraints and applying epi-convergence theory we obtain stability results for linear and linear-quadratic multistage stochastic programs.Project supported by the National Natural Science Foundation of China.     

Stabilization of a class of nonlinear composite stochastic systems

This paper deals with the stability for a class of nonlinear composite stochastic systems by feedback laws.Firstly,we give sufficient conditions for the existence of feedback laws which render the equilibrium solution of the stochastic system globally asymptotically stable in probability.Secondly,for stochastic systems of the same type,we prove that there exists a linear feedback law which exponentially stabilizes in mean square the closed–loop stochastic system at its equilibrium.     

随机动态线性经济系统的稳定性

本文讨论随机动态线性经济系统：Ｙｔ＝ＡＹ＿（ｔ－１）＋ｂ十μ＿ｔ在矩阵Ａ为一般情形下的稳定性问题。并给出该系统稳定的充要条件。     

On a semilinear double fractional heat equation driven by fractional Brownian sheet

In this paper, we consider the stochastic heat equation of the form $$\frac{\partial u}{\partial t}=(\Delta_\alpha+\Delta_\beta)u+\frac{\partial f}{\partial x}(t,x,u)+\frac{\partial^2W}{\partial t\partial x},$$ where $1<\beta<\alpha< 2$, $W(t,x)$ is a fractional Brownian sheet, $\Delta_\theta:=-(-\Delta)^{\theta/2}$ denotes the fractional Lapalacian operator and $f:[0,T]\times \mathbb{R}\times \mathbb{R}\rightarrow\mathbb{R}$ is a nonlinear measurable function. We introduce the existence, uniqueness and H\"older regularity of the solution. As a related question, we consider also a large deviation principle associated with the above equation with a small perturbation via an equivalence relationship between Laplace principle and large deviation principle.     

On Stochastic Integration and Differentiation

In a standard integration scheme for a measurable/integrable modification existence, a certain criterion is suggested. It is also shown, how a stochastic differential can be determined for a given stochastic function.     

带随机过程的随机规划问题最优解集的过程特性与稳定性

本文证明了带随机过程的随机规划问题最优解集做为集值随机过程的可测性、可测最优解选择过程的存在性。研究了最优解集过程的平稳性、马氏性以及最优值过程的鞅性和最优解集过程的集值鞅性。最后，讨论了在有限维分布意义下最优解集过程对所含随机过程参数的连续性以及最优值过程的稳定性。     

Exponential stability of hybrid stochastic functional differential systems with delayed impulsive effects: average impulsive interval approach

In this paper, we aim to investigate the exponential stability of general hybrid stochastic functional differential systems with delayed impulses. By using the average impulsive interval and the Lyapunov function method, we derive some sufficient conditions for exponential stability, which are less conservative than those existing results based on the supremum or infimum of impulsive interval and more convenient to be applied than those Razumikhin‐type conditions in the literature. Meanwhile, we show that unstable hybrid stochastic delay differential systems, both linear and nonlinear, can be stabilized by suitably impulsive sequence. Finally, two examples are discussed to illustrate the effectiveness and advantages of the obtained results. Copyright © 2017 John Wiley & Sons, Ltd.