求解延迟微分代数方程的多步Runge-Kutta方法的渐近稳定性

延迟微分代数方程(DDAEs)广泛出现于科学与工程应用领域．本文将多步Runge-Kutta方法应用于求解线性常系数延迟微分代数方程，讨论了该方法的渐近稳定性．数值试验表明该方法对求解DDAEs是有效的．     

脉冲微分方程的两度量实用稳定性

利用向量Lyapunov函数,研究了脉冲微分方程的两度量实用稳定性问题,通过实例对得到的稳定性的结论给予了验证.     

时间尺度上脉冲动力系统的实用稳定性

对时间尺度上脉冲动力系统进行研究,利用Lyapunov类函数和比较原理,得到这类系统实用稳定性的充分条件.     

一类复杂时滞系统的λ实用稳定性

主要研究了一类具有多时滞的复杂微分系统的λ实用稳定性问题,通过对Lyapunov函数方法以及比较原理的运用,建立一般形式的实用稳定性直接判据.在此基础上给出讨论这类多时滞复杂微分系统实用稳定性的新方法.     

线性时滞系统实用稳定性的一个简明判据

利用比较的方法，获得了线性时滞系统实用稳定性的一个简单判定定理．     

线性微分差分系统渐近稳定性的充要条件

本文引进了一种可调参数的方法，应用该方法研究了线性微分差分系统的渐近稳定性，得到了该系统渐近稳定性的充要条件的代数判别准则．     

脉冲泛函微分方程实用稳定性的一个比较定理

考虑一类脉冲泛函微分方程的实用稳定性，利用锥值李亚普诺夫函数方法，建立了脉冲泛函数微分方程与脉冲常微分方程的实用稳定性之间的比较定理。     

非线性泛函微分与泛函方程线性θ-方法的渐近稳定性

将线性θ-方法用于求解一类非线性泛函微分与泛函方程,结果表明:在问题真解渐近稳定的条件下,A-稳定的线性θ-方法(即1/2≤θ≤1)是渐近稳定的.数值试验的结果验证了所获理论的正确性.     

采样系统的稳定性分析及其在电力市场的应用

基于Lyapunov稳定理论研究非周期采样控制系统的稳定性问题.首先,通过充分利用系统的状态信息,构建出新的增广型Lyapunov-Krasovskii泛函,并引入零等式来放宽泛函的正定条件;其次,在对泛函导数进行界定时,应用自由矩阵积分不等式方法估计泛函导数中的积分项,得到了更小保守性的稳定性判据.最后,借助一个经典...     

一类新的变时滞中立型神经网络的全局渐近稳定性条件

研究了一类激活函数的状态变量带有微分时滞的中立型神经网络的稳定性问题.通过构造李亚普诺夫函数,并利用LMI分析技巧,获得了该类中立型神经网络的全局渐近稳定性的充分条件.最后通过实际算例验证了所得结果的有效性.     

电力市场中合同电量与竞争电量交易比例的研究

在单边开放的区域电力市场中,合理的合同电量与竞争电量交易比例是保证电力市场有效运行的一个重要环节。竞争电量所占的比例将主要取决于当前发电公司的市场行为。首先使用BP神经网络对电力需求弹性系数进行了预测,然后以长期电力市场均衡为目标函数,考虑贵州电网发电机组的可用容量与负荷预测的误差,以及贵州输电线路的可靠性诸因素,推导出合同电量与竞争电量交易比例,经过与南方区域电力市场目前运营规则规定的交易比例比较,该比例是合理的,可以规避电力市场价格波动等带来的风险。     

Stabilization and Practical Asymptotic Stability of Abstract Differential Equations

This article studies the problem of stabilization of the infinite-dimension time-varying control systems in Hilbert spaces. We consider the problem of practical asymptotic stability with respect to a continuous functional for a class of abstract nonlinear infinite-dimensional processes with multivalued solutions on a metric space when the origin is not an equilibrium point. In the case of the existence of a differentiable Lyapunov functional, we obtain sufficient conditions for the practical stability of continuous semigroups in a Banach space.     

Practical Stability in the pth Mean of Stochastic Differential Equations with Discontinuous Coefficients

In this paper,we give sufficient conditions to analyze the practical stability in the pth mean of stochastic differential equations with discontinuous coefficients.The Lyapunov-like function plays an important role in analysis.Some numerical computations are carried out to illustrate the theoretical results.     

Stability of highly nonlinear hybrid stochastic integro-differential delay equations

For the past few decades, the stability criteria for the stochastic differential delay equations (SDDEs) have been studied intensively. Most of these criteria can only be applied to delay equations where their coefficients are either linear or nonlinear but bounded by linear functions. Recently, the stability criterion for highly nonlinear hybrid stochastic differential equations is investigated in Fei et al. (2017). In this paper, we investigate a class of highly nonlinear hybrid stochastic integro-differential delay equations (SIDDEs). First, we establish the stability and boundedness of hybrid stochastic integro-differential delay equations. Then the delay-dependent criteria of the stability and boundedness of solutions to SIDDEs are studied. Finally, an illustrative example is provided.     

Stability criteria in terms of two measures for functional differential equation with variable‐time impulses

This paper focuses on the stability in terms of two measures for functional differential equation with variable‐time impulses. Being different from most of existing literatures, the impulses of functional differential equation are assumed to be closely associated to the current state. We propose a new comparison principle for the considered systems and establish several stability criteria in terms of two measures. Also, the theoretical results are applied in a class of delayed neural network systems with variable‐tine impulses, and numerical simulations are introduced to illustrate the effectiveness of our results. Copyright © 2014 John Wiley & Sons, Ltd.