区间矩阵稳定性的简捷判据

<正> 文[3]给出了区间矩阵稳定性的充要条件,但此条件较繁,本文则给出区间矩阵稳定性的较简便的判据. 一、区间矩阵的稳定性     

区间动力系统稳定性分析

本文研究了泛区间动力系统的稳定性,并由此给出了区间矩阵稳定的充要条件和离散区间动力系统稳定的充要条件.本文的分析方法具有普遍意义,适于一大类区间分析问题,包括区间时滞系统,灰色控制系统,区间分布参数系统等.     

具有混合时滞的区间神经网络的全局指数稳定性

本文研究了一类具有混合时滞的区间神经网络系统的全局指数稳定性.通过选择适当的Lyapunov泛函,运用不等式技巧,得到了用线性矩阵不等式表示的有关的区间神经网络全局指数稳定的充分判据.通过一个数值实例验证了判据的有效性.     

一类离散时间非线性系统降维观测器设计

本文研究了一类离散时间非线性系统降维观测器设计问题.利用微分中值定理和Schur补,得到了这类非线性系统降维观测器的设计判据.所给判据为线性矩阵不等式形式.与现在已有文献中的判据相比,本文得到的判据不仅可用于离散时间可微Lipschitz非线性系统而且可用于某些离散时间的非Lipschitz非线性系统.文末,给出了几个仿真算例以验证所得结论的正确性.     

几类时变系统的稳定性的新判据

本文利用文[1]—[4]关于区间矩阵或区间对称矩阵的稳定性判据给出了时变线性系统(dx)/(dt)=A(t)x(1)和具有时滞的线性系统(dx(t))/(dt)=A(t)x(t) B(t)x(t-τ)(2)的零解渐近稳定的充分条件,并利用文献[5]的引理给出了时变直接控制系统(?)的绝对稳定性的充分条件.我们将以上时变系统的稳定性判定归结为有限个常数矩阵的稳定性判定,或者通过所构造的常数矩阵的主子式符号或谱半径来判断.对矩阵 A(t),B(t)不要求缓变,也无任何结构上的特殊要求.     

非线性灰色离散系统零解的稳定性

本文用区间矩阵和Ｌｙａｐｕｎｏｖ第二方法讨论了具有非线性扰动项的灰色离散系统的稳定性，得到了若干稳定性的代数判据，这些结果将文（５）的主要结果由线性推广到了非线性，并给出了实现的例子。     

一类区间随机分布时滞系统的p-阶矩指数稳定性

研究了一类区间随机分布时滞系统的p-阶矩指数稳定性问题.利用分布时滞转化为点时滞方法和区间矩阵的分解技术,得到了该系统p-阶矩指数稳定的时滞依赖的稳定性判据.通过数值例子说明了所得判据的有效性和实用性.     

一类脉冲微分包含系统的稳定性分析

脉冲微分包含系统是具有状态脉冲的微分包含系统,在建模层面有广泛的模型表征能力.针对一类具有差分包含脉冲形式的线性脉冲微分包含系统,文章探索系统在所有脉冲下的强稳定性,给出基于Lyapunov方法的稳定性判据.特别地,稳定性等价于存在一个联合公共范数,使其对离散子动态诱导出具有压缩性质的公共矩阵范数,及对连续子动态诱导出负值公共测度.该判据可视为连续时间微分包含系统和离散时间差分包含系统相关稳定性判据的完全推广.     

区间动力系统的鲁棒稳定性分析

本文研究区间系统的鲁棒稳定性问题 ,把连续区间系统的鲁棒Hurwtiz稳定和离散区间系统的鲁棒Schur稳定的问题等价转换于一参数扰动矩阵集的鲁棒非奇异问题 ,然后给出鲁棒Hurwtiz稳定和鲁棒Schur稳定的基于 μ 分析的充分必要条件 .     

具有分布时滞和区间参数的随机系统的p-阶矩指数鲁棒稳定性

研究了一类具有分布时滞和区间参数的随机系统的p-阶矩指数鲁棒稳定性问题,利用Liapunov-Krasovskii泛函、区间矩阵的分解技术及Ito公式,得到了该系统p-阶矩指数鲁棒稳定的时滞依赖的稳定性判据.通过数值例子说明了所得判据的有效性和实用性.     

Dynamic analysis of Markovian jumping impulsive stochastic Cohen–Grossberg neural networks with discrete interval and distributed time-varying delays

In this paper, the dynamic analysis problem is considered for a new class of Markovian jumping impulsive stochastic Cohen–Grossberg neural networks (CGNNs) with discrete interval and distributed delays. The parameter uncertainties are assumed to be norm bounded and the discrete delay is assumed to be time-varying and belonging to a given interval, which means that the lower and upper bounds of interval time-varying delays are available. Based on the Lyapunov–Krasovskii functional and stochastic stability theory, delay-interval dependent stability criteria are obtained in terms of linear matrix inequalities. Some asymptotic stability criteria are formulated by means of the feasibility of a linear matrix inequality (LMI), which can be easily calculated by LMI Toolbox in Matlab. A numerical example is provided to show that the proposed results significantly improve the allowable upper bounds of delays over some existing results in the literature.     

Improved delay-dependent robust stability criteria for a class of uncertain mixed neutral and Lur’e dynamical systems with interval time-varying delays and sector-bounded nonlinearity

The previously proposed delay-dependent robust stability criteria for a class of uncertain mixed neutral and Lur’e dynamical systems with interval time-varying delays are refined by eliminating nonlinearity and/or reducing the number of free-weighting matrices. Several robust stability criteria proposed in this paper are simpler and effective. Numerical examples show that the new method is less conservative than some previous approaches.     

弱局部对角占优阵及其在稳定性理论中的应用

引进了弱局部地角占优阵的概念，研究了这类矩阵的性质及其特征值问题，并给出了在稳定性理论中的应用。     

Delay-dividing approach for absolute stability of Lurie control system with mixed delays

This paper studies the absolute stability problem for a Lurie control system with nonlinearity located in an infinite sector and finite one. By dividing the discrete delay interval into multiple segments and choosing proper Lyapunov functionals, some delay dependent stability criteria are derived to guarantee the stability of the Lurie control system. It is established theoretically that the criteria are less conservative than the previous ones. Numerical examples demonstrate the validity of the proposed criteria.     

Further results for robust stability of cellular neural networks with linear fractional uncertainty

A novel method is proposed for existence, uniqueness, asymptotic stability of certain and uncertain cellular neural networks with interval time-varying delays. By introducing triple-integral terms, a new Lyapunov functional is established. Without assuming the boundedness and monotonicity of activation functions, by applying homeomorphism mapping theorem, Jensen integral inequality and generalized Jensen integral inequality, new delay-dependent stability criteria are obtained with some free-weighting matrices involved. Since the results are presented in terms of linear matrix inequalities, the conditions can be solved efficiently by using the recently developed interior-point algorithm. Finally, four examples are also given to illustrate the effectiveness and less conservativeness of the proposed criteria.     

Exponential stability analysis for uncertain neural networks with interval time-varying delays

In this paper, the problem of exponential stability analysis for neural networks is investigated. It is assumed that the considered neural networks have norm-bounded parametric uncertainties and interval time-varying delays. By constructing a new Lyapunov functional, new delay-dependent exponential stability criteria with an exponential convergence rate are established in terms of LMIs (linear matrix inequalities) which can be easily solved by various convex optimization algorithms. Two numerical examples are included to show the effectiveness of proposed criteria.     

New robust stability criteria for uncertain neural networks with interval time-varying delays

In this paper, problem of robust stability of uncertain neural networks with interval time-varying delays has been investigated. The delay factor is assumed to be time-varying and belongs to a given interval, which means that the lower and upper bounds of the interval time-varying delays are available. Based on the Lyapunov–Krasovskii functional approach, a new delay-dependent stability criteria is presented in terms of linear matrix inequalities (LMIs). Two numerical examples are given to illustrate the effectiveness of the proposed method.     

Stability criteria for uncertain neutral systems with interval time-varying delays

This paper investigates asymptotic stability problem for neutral system with interval time-varying delays and two classes of uncertainties. Delay-dependent and delay-independent criteria are proposed to guarantee the asymptotic stability for our considered systems. Lyapunov–Krasovskii functional and Leibniz–Newton formula are applied to find the delay-dependent stability results. Linear matrix inequality (LMI) approach is used to solve the proposed conditions. Finally, some numerical examples are illustrated to show the improvement of this paper.     

Exponential stability results for uncertain neutral systems with interval time-varying delays and Markovian jumping parameters

This paper deals with the global exponential stability analysis of neutral systems with Markovian jumping parameters and interval time-varying delays. The time-varying delay is assumed to belong to an interval, which means that the lower and upper bounds of interval time-varying delays are available. A new global exponential stability condition is derived in terms of linear matrix inequality (LMI) by constructing new Lyapunov-Krasovskii functionals via generalized eigenvalue problems (GEVPs). The stability criteria are formulated in the form of LMIs, which can be easily checked in practice by Matlab LMI control toolbox. Two numerical examples are given to demonstrate the effectiveness and less conservativeness of the proposed methods.     

矩阵秩分解定理的一个证明及其应用

矩阵的秩分解定理是矩阵论中的一个基础性定理.本文给出了秩分解定理的一个证明,描述了其中可逆矩阵P,Q的构造,讨论了秩分解定理及其P,Q的构造在解线性方程组中的应用,以及在判别Sylvester不等式等号成立中的应用.