Markov调制的无穷时滞脉冲随机泛函微分方程一般衰减意义下p阶矩和几乎必然稳定性（英文）

本文研究Markov调制的无穷时滞脉冲随机泛函微分方程一般衰减意义下p阶矩和几乎必然稳定性.我们运用Lyapunov函数,Razumikhin技巧和随机分析的方法,首先研究一般衰减意义下p阶矩稳定性.然后,运用Borel-Cantelli引理讨论一般衰减意义下几乎必然稳定性.推广并改进了已有文献的一些结果.最后,给出一个实例解释所得结果.     

脉冲无限时滞微分方程零解的一致渐近稳定性

利用Liapunov泛函和改进的Razumikhin技巧讨论了脉冲无限时滞微分方程零解的一致渐近稳定性,推广和改进了已有文献的结果.     

中立型泛函微分方程中Liapunov泛函的Razumikhin型定理

本文借助Liapunov泛函附加Razumikhin条件,研究了中立型泛函微分方程解的一致渐近稳定性,统一了Liapunov泛函方法和Razumikhin技巧,所得的结果推广了文[4—8]中的工作。     

带有延迟脉冲量的脉冲随机微分方程的稳定性（英文）

本文研究带有限延迟脉冲随机泛函微分方程的p阶矩稳定性和p阶矩渐近稳定性的问题.利用Razumikhin技巧和Lyapunov函数的方法,获得方程p阶矩稳定性和p阶矩渐近稳定性的结果.     

一般衰减率下脉冲随机泛函微分方程的p阶矩稳定性

研究了具有一般衰减率的脉冲随机泛函微分方程的p阶矩稳定性问题.利用Lyapunov泛函法、随机分析理论和文章所建立的脉冲微分不等式,得到了该方程在一般衰减率下p阶矩稳定性和几乎必然稳定性的一些充分性条件.所得的这些条件既简单又具有一般性,并被应用于讨论了一般衰减率下脉冲随机时滞微分方程的p阶矩稳定性问题.实例表明,所得结果是有效的和实用的.     

脉冲积分-微分系统零解稳定性的新的Razumikhin型定理

为研究积分-微分系统的稳定性,运用Lyapunov函数直接方法并借助Razumikhin技巧的思想,通过减弱Lyapunov函数沿系统解的导数须常负或定负的限制条件,给出了判断脉冲积分-微分系统零解稳定性的新的直接判定定理.     

无限时滞随机泛函微分方程的Razumikhin型定理

在无限时滞的随机泛函微分方程整体解存在的前提下,建立了一般衰减稳定性的Razumikhin型定理.在此基础上,基于局部Lipschitz条件和多项式增长条件,得到了无限时滞随机泛函微分方程整体解的存在唯一性,以及具有一般衰减速率的p阶矩和几乎必然渐近稳定性定理.     

时滞脉冲切换系统的实用稳定性-带Razumikhin条件的Lyapunov函数方法

用带Razumikhin条件的Lyapunov函数方法研究了一般形式的时滞脉冲切换系统的实用稳定性,得到了时滞脉冲切换系统实用稳定、一致实用稳定的充分条件.最后,给出了具体的例子及其数值模拟.     

非线性随机时滞微分系统的脉冲镇定[英文]

本文研究一类非线性随机时滞微分系统的脉冲镇定.利用Lyapunov函数,Razumikhin和一些分析的技巧得到系统基于线性矩阵不等式形式的均方稳定性判据,该判据表明适当的脉冲可以用来镇定不稳定的随机时滞系统.与此同时,数值例子及仿真证明了本文方法的有效性.     

RAZUMIKHIN型定理的改进及应用

在研究滞后型泛函微分方程解的稳定性过程中,Razumikhin 型定理颇被人们重视.文〔1〕指出:“它的优点在于(dv)/(dt)可直接与方程右端算子发生关系,适合具体应用问题”,本文改进了文〔2〕中的 Razumikhin 型定理,可适用于一般的滞后型泛函微分方程(RFDE),引进了强等度渐近稳定的概念,给出了一类特殊滞后系统的解具有此种稳定性的充要条件及一致渐近稳定的充分条件.     

$n$-维中立型多时滞微分方程的稳定性分析

This paper is mainly concerned with stability analysis of neutral differential equations with multiple delays. Some criteria on instability, stability, asymptotic stability and exponential stability are obtained. The criterion on asymptotic stability is necessary and sufficient. Two examples are provided to illustrate the applications of our results. Some previous results are extended.     

The effect of density-dependent dispersal on the stability of populations

The nonlinear stability of two populations diffusing in a common bounded domain with nonlinear density-dependent dispersal of a general type is studied, under Robin boundary conditions. The stability and instability of the positive equilibrium are studied by the linear eigenvalues method. The nonlinear stability is studied with the Lyapunov direct method. In a particular case, global stability has been obtained.     

Stability analysis of uncertain fuzzy Hopfield neural networks with time delays

In this paper, the global stability problem of uncertain Takagi–Sugeno (T–S) fuzzy Hopfield neural networks with time delays (TSFHNNs) is considered. A novel LMI-based stability criterion is obtained by using Lyapunov functional theory to guarantee the asymptotic stability of TSFHNNs. Here, we choose a generalized Lyapunov functional and introduce a parameterized model transformation with free weighting matrices to it, in order to obtain generalized stability region. In fact, these techniques lead to generalized and less conservative stability condition that guarantee the wide stability region. The proposed stability conditions are demonstrated with four numerical examples. Comparison with other stability conditions in the literature shows our conditions are the more powerful ones to guarantee the widest stability region.     

Vibration and stability of an axially moving Rayleigh beam

In this paper, the vibration and stability of an axially moving beam is investigated. The finite element method with variable-domain elements is used to derive the equations of motion of an axially moving beam based on Rayleigh beam theory. Two kinds of axial motions including constant-speed extension deployment and back-and-forth periodical motion are considered. The vibration and stability of beams with these motions are investigated. For vibration analysis, direct time numerical integration, based on a Runge–Kutta algorithm, is used. For stability analysis of a beam with constant-speed axial extension deployment, eigenvalues of equations of motion are obtained to determine its stability, while Floquet theory is employed to investigate the stability of the beam with back-and-forth periodical axial motion. The effects of oscillation amplitude and frequency of periodical axial movement on the stability of the beam are discussed from the stability chart. Time histories are established to confirm the results from Floquet theory.     

混合型分段连续微分方程的数值稳定性

This paper deals with the stability analysis of the Euler-Maclaurin method for differential equations with piecewise constant arguments of mixed type. The expression of analytical solution is derived and the stability regions of the analytical solution are given. The necessary and sufficient conditions under which the numerical solution is asymptotically stable are discussed. The conditions under which the analytical stability region is contained in the numerical stability region are obtained and some numerical examples are given.     

Delay-Dependent Criteria for Robust Stabilization of Markovian Switching Networks with Time-Varying Delay

Abstract

A problem of feedback stabilization of hybrid systems with time-varying delay and Markovian switching is considered. Delay-dependent sufficient conditions for stability based on linear matrix inequalities (LMI's) for stochastic asymptotic stability is obtained. The stability result depended on the mode of the system and of delay-dependent. The robustness results of such stability concept against all admissible uncertainties are also investigated. This new delay-dependent stability criteria is less conservative than the existing delay-independent stability conditions. An example is given to demonstrate the obtained results.     

Analytical and numerical methods for the stability analysis of linear fractional delay differential equations

In this paper, several analytical and numerical approaches are presented for the stability analysis of linear fractional-order delay differential equations. The main focus of interest is asymptotic stability, but bounded-input bounded-output (BIBO) stability is also discussed. The applicability of the Laplace transform method for stability analysis is first investigated, jointly with the corresponding characteristic equation, which is broadly used in BIBO stability analysis. Moreover, it is shown that a different characteristic equation, involving the one-parameter Mittag-Leffler function, may be obtained using the well-known method of steps, which provides a necessary condition for asymptotic stability. Stability criteria based on the Argument Principle are also obtained. The stability regions obtained using the two methods are evaluated numerically and comparison results are presented. Several key problems are highlighted.     

Dynamics of a delayed predator–prey model with predator migration

Based on the availability of prey and a simple predator–prey model, we propose a delayed predator–prey model with predator migration to describe biological control. We first study the existence and stability of equilibria. It turns out that backward bifurcation occurs with the migration rate as bifurcation parameter. The stability of the trivial equilibrium and the boundary equilibrium is delay-independent. However, the stability of the positive equilibrium may be delay-dependent. Moreover, delay can switch the stability of the positive equilibrium. When the positive equilibrium loses stability, Hopf bifurcation can occur. The direction and stability of Hopf bifurcation is derived by applying the center manifold method and the normal form theory. The main theoretical results are illustrated with numerical simulations.     

Global asymptotic stability of stochastic fuzzy cellular neural networks with multiple discrete and distributed time-varying delays

In this paper, the Takagi–Sugeno (T–S) fuzzy model representation is extended to the stability analysis for stochastic cellular neural networks with multiple discrete and distributed time varying delays. A novel linear matrix inequality (LMI) based stability criterion is derived to guarantee the asymptotic stability of stochastic cellular neural networks with multiple discrete and distributed time varying delays which are represented by T–S fuzzy models. The derived delay-dependent stability conditions are based on free-weighting matrices method, Lyapunov stability theory and LMI technique. In fact, these techniques lead to generalized and less conservative stability condition that guarantee the wide stability region. The delay-dependent stability condition is formulated, in which the restriction of the derivative of the time-varying delay is removed. Our results can be specialized to several cases including those studied extensively in the literature. Finally, numerical examples are given to demonstrate the effectiveness and conservativeness of our results.     

Stability conditions for a pipeline polling scheme in satellite communications

This paper considers the unknown stability conditions of a pipeline polling scheme proposed for satellite communications. This scheme is modelled as a cyclic-service system with limited service and reservation. The walk times and the maximum number of services to be performed during each polling are dependent on the queue lengths of the stations. The main result is the derivation of the necessary and sufficient stability conditions of the system. Our approach is to map the multi-dimensional stability problem into many 1-dimensional stability problems through the concept of the least stable queue. The least stable queue is one that will become unstablefirst when the system load increases in some parameter region. The stability of the least stable queue thus implies stability of the system. The stability region for the whole system is then the union of the queue stability regions of all the least stable queues that are obtained through dominant systems and Loynes' theorem. We also propose a computable sufficient condition that is tighter than the existing result and present some numerical results.