广义严格对角占优矩阵的判定程序

通过广义严格对角占优矩阵的判定定理,提出了判别广义严格对角占优矩阵的算法,编写成程序在计算机上得以实现.程序部分应用的软件是Visual Basic6.0程序设计软件.     

群体系统稳定性的研究现状及线性时变系统的稳定性判定方法

群体系统的稳定性是研究群体系统其它性能的前提条件,本文阐述了其在当前国内外的研究现状,指出当前研究中存在的问题,并提出可能出现的新的研究方法以及研究方向,如非线性群体系统的稳定性分析,关联函数eij属于何种类型函数的确定等。根据一种M-矩阵的判断方法及P-F定理,通过引入两个正参数iτ和pmin,对Siljak等人提出的系统全局最优稳定性判定定理,系统联结稳定性判定定理加以改进,提出了一种线性时变群体系统的稳定性判定方法。此方法简化了计算系统的复杂性,减少了计算量,从而提高了求解效率,具有实际意义。     

具反应扩散混合时滞Cohen-Grossberg神经网络的指数耗散性

利用扩散算子特性、M-矩阵性质和不等式分析技巧,在不要求神经网络激励函数的有界性、单调性、可微性以及平均时滞有界性的弱保守条件下,研究了一类具有反应扩散混合时滞的非自治Cohen-Grossberg神经网络的实不变集、全局指数稳定性和指数耗散性,并给出了相关的充分性条件.文中所使用的方法摒弃了常规构造适当的Lyapunov泛函的方法,克服了Lyapunov泛函难构造的困难,且得到的结果扩展和改进了其他文献结果.最后给出了一个数值例子来说明所得结果的有效性.     

Almost sure stability of stochastic neutral Cohen–Grossberg neural networks with Lévy noise and time-varying delays

The almost sure stability for the stochastic neutral Cohen–Grossberg neural networks (SNCGNNs) with Lévy noise, time-varying delays, and Markovian switching would be deliberated in this article. By means of the nonnegative semimartingale convergence theorem (NSCT), the neutral Itô formula, M-matrix method, and selecting appropriate Lyapunov function, several almost sure stability criterions for the SNCGNNs could be derived. Moreover, according to the M-matrix theory, the upper bounds of the coefficients at any mode are given. Finally, two examples and numerical simulations verify the correctness of theoretical analysis for the stability criterions proposed in the article.     

一种有效的新预条件Gauss-Seidel迭代法

为了改善古典迭代法的收敛速度,本文提出一种带参数的新预条件方法,并对参数的选择给出必要条件,证明了对于非奇异不可约M一矩阵,新预条件方法收敛且可以加速Gauss—Seidel迭代法的收敛速度,数值例子表明新预条件方法是有效的．     

Novel criteria for global robust exponential stability of neural networks with time-varying delays via LMI approach

The article addresses the problem of global robust exponential stability of interval neural networks with time-varying delays. On the basis of linear matrix inequality technique and M-matrix theory, some novel sufficient conditions for the existence, uniqueness, and global robust exponential stability of the equilibrium point for delayed interval neural networks are presented. It is shown that our results improve and generalize some previously published ones. Some numerical examples and simulations are given to show the effectiveness of the obtained results.     

Stability of perturbed systems with time-varying delays

This paper gives easily verifiable sufficient conditions of robust asymptotic stability of linear time-delay systems subject to parametric unstructured or highly-structured perturbations. The criteria given in this paper are delay-independent or delay-dependent. The considered delay may be time-varying. An estimation of the transient behaviour of the studied systems is also provided (exponential rate of convergence).Scalar or vectorial inequalities involving Hurwitz matrices, matrix measures and norms constitute the mathematical foundations of the exposed results.     

MSOR迭代法的收敛性

当线性方程组的系数矩阵A是严格对角占优阵、不可约弱对角占优阵、M阵、H阵和Stieltjes阵时,本文改进了M.Martins论文中MSOR迭代法收敛性的一些结果。     

对一类广义M-矩阵的一些讨论

讨论了一类广义M-矩阵,得到若干与这类广义M-矩阵定义等价的条件。     

N矩阵的Hadamard不等式

M矩阵在矩阵论的研究中极为重要,并在很多学科中得到了广泛的应用N矩阵是与M矩阵关系密切的一类矩阵．本文在文献的基础上给出了N矩阵及逆N阵的Hadamard的不等式,并分别给出了证明