具有滞后耦合特性的线性随机大系统的时滞无关均方稳定性

本文研究具有滞后耦合特性的时不变线性Ｉｔｏ随机大系统的稳定性，得到了大系统平衡态滞后无关的均方渐近稳定性代数判据。文中所考虑的子系统是随机子系统，对它们的建设正好是它们的均方渐近稳定的充要条件。另外，文中采用的Ｌｙａｐｕｎｏｖ泛函是确定型的Ｌｙａｐｕｎｏｖ泛函。     

时变滞后随机大系统的稳定性：向量Lyapunov函数法

本文研究变系数、变时滞线性随机大系统的均方渐近稳定性，通过将Ｈａｌａｎａｙ不等式推广到高维空间、采用向量Ｌｙａｐｕｎｏｖ函数、运用Ｍ－矩阵等工具，得到了随机大系统的稳定性判据，文中模型考虑了子系统之间的交互随机干扰，所得稳定性判断是滞后无关的。     

时滞线性随机系统的均方稳定性与反馈镇定*

本文研究Ｉｔｏｏ型随机滞后系统的均方稳定性与反馈镇定。文中首先建立了Ｉｔｏ型随机滞后系统的新型稳定性定理，然后采用适当的Ｌｙａｐｕｎｏｖ泛函得到了时滞线性随机系统零解均方渐近稳定的一个充分性判据，该判据适用于完全滞后型的随机系统，据此判据，文中给出了时滞线性随机系统的滞后反馈镇定方法。     

非线性滞后Ito随机系统的滞后无关均方渐近稳定性

研究非线性滞后Ｉｔｏ随机系统的滞后无关均方渐近稳定性，将关于线性时滞不等式的Ｈａｌａｎａｙ不等式推广到非线性情形，用Ｌｙａｐｕｎｏｖ函数和关于时滞随机系统的比较原理，得到了非线性滞后Ｉｔｏ随机系统滞后无关均方渐近稳定性的一些判据。     

非线性滞后It(?)随机系统的滞后无关均方渐近稳定性

研究非线性滞后Ito随机系统的滞后无关均方渐近稳定性,将关于线性时滞不等式的Halanay不等式推广到非线性情形,用Lyapunov函数和关于时滞随机系统的比较原理,得到了非线性滞后Ito随机系统滞后无关均方渐近稳定性的一些判据。     

带有时滞的随机大系统的稳定性

本文对带有时滞的随机大系统给出了滞后无关均方渐近稳定性的定义和判据,所讨论的随机大系统具有随机互联结构。     

多滞后线性随机系统的稳定性判据

本文利用作者建立的时滞随机系统的比较原理和多滞后确定性系统的稳定性结论，建立了多滞后线性随机系统的滞后无关均方渐近稳定性的判据。     

在结构与随机扰动下的大系统的稳定性

在本文中,我们给出了在结构与随机扰动下的动态大系统的稳定性分析,建立了这类大系统的依概率吸引性,依概率一致有界性,依概率大范围渐近稳定性,p吸引性,一致p有界性,和大范围渐近p稳定性的结论。这些结论的假设是由孤立子系统和与其联系的李亚普诺夫函数,受扰系统的结构和作用在子系统上的随机扰动表出的。     

多组滞后线性定常离散大系统的稳定性智能分析

讨论了多组滞后线性定常离散大系统的稳定性问题，给出了求解离散Ｌｙａｐｕｎｏｖ方程及实对称矩阵特箱奶的智能方法，同时基于Ｍ－矩阵建立了判定多组滞后的线性定常离散大系统无条件渐近稳定的实用并行算法，最后，通过实例验证了该算法在正确性和有效性。     

具有随机输入的混合复合动态系统的稳定性判据

本文给出了如图1所示的具有随机输入的混合复合动态系统的稳定性分析,所讨论的系统由一个算子L和一个随机微分方程描述的方块组成。对于这样的系统,我们建立了随机吸引性、随机渐近稳定性、随机有界性、大范围随机渐近稳定性、p吸引性、渐近p稳定性、一致p有界性和大范围渐近p稳定性的判据。这些判据包含了一些假设,这些假设描述了算子L和整个系统的定性I/O性质和表示了由随机微分方程描述的子系统的性质。     

分布式迭代随机大系统的定性分析

本文对分布迭代随机大系统给出了定性分析，对时不变性线，时变线性和非线性迭代随机大系统建立了关联均方收敛性判据，在所有孤立子系统都收敛的情形，只需选择子系统中适当的乘子，迭代随机大系统就能对任意互连项和在结构扰动下保持均方收敛性。     

离散广义大系统的Lyapunov稳定性分析

广义大系统的稳定性是广义大系统理论的基本问题之一,对其稳定性的研究要比状态空间大系统复杂得多,因为广义大系统不仅需要考虑稳定性,而且还要考虑正则性和因果性(离散广义系统)及脉冲自由(连续广义系统).本文在所有孤立子系统都是正则的且具有因果关系的条件下,利用Lyapunov方程,应用Lyapunov函数方法,研究了广义离散线性大系统和广义离散非线性大系统的稳定性和不稳定性问题,给出了离散广义大系统稳定性和不稳定性判定定理,得到了离散广义大系统的关联稳定参数域和不稳定域.     

Partial stability of large-scale systems

In this paper a theorem concerning the asymptotic partial stability for large-scale systems is given. By describing high-order systems as collections of lower order interconnected subsystems, the theorem takes the form of conditions on the interconnection structure so that asymptotic partial stability property of isolated subsystems infer the same property of the over-all system. An application is given for a problem of partial controllability in the large.     

On vector Lyapunov functions for stochastic dynamical systems

Vector Lyapunov functions are used in the stability analysis of large-scale stochastic systems described by Itô differential equations (with stochastic disturbances in the subsystems and in the interconnecting structure). Sufficient conditions for asymptotic stability and exponential stability with probability 1 and in probability are established, in all cases the objective is the same: to analyze large-scale systems in terms of their lower order (and simpler) subsystems and in terms of their interconnecting structure. Use of the method presented makes it often possible to circumvent difficulties usually encountered when the Lyapunov method is applied to high-dimensional systems and to systems with complicated interconnecting structure. In order to demonstrate the usefulness of the present approach, a specific example is considered.     

随机大系统的大范围渐近随机关联稳定性

本文通过分析随机大系统的孤立子系统和互联结构,并通过引入两个互联矩阵,提出了非Ito型随机大系统的大范围渐近随机关联稳定性的概念,并给出了充分条件。所考虑的随机大系统的随机噪声服从大数定律。本文给出了一个例子以说明所得结果的可用性。     

Stability analysis of switched singular stochastic linear systems

ABSTRACT

This paper is devoted to study the stability of switched singular stochastic linear systems with both stable and unstable subsystems. By using the method of multiple Lyapunov functions and the notion of average dwell time, we provide sufficient conditions for the exponential mean-square stability of switched singular stochastic systems in terms of a proper switching rule and the linear matrix inequalities. An example is given to illustrate the effectiveness of the obtained results.     

Asymptotic stability and instability of large-scale systems

The purpose of this paper is to develop new methods for constructing vector Lyapunov functions and broaden the application of Lyapunov's theory to stability analysis of large-scale dynamic systems. The application, so far limited by the assumption that the large-scale systems are composed of exponentially stable subsystems, is extended via the general concept of comparison functions to systems which can be decomposed into asymptotically stable subsystems. Asymptotic stability of the composite system is tested by a simple algebraic criterion. By redefining interconnection functions among the subsystems according to interconnection matrices, the same mathematical machinery can be used to determine connective asymptotic stability of large-scale systems under arbitrary structural perturbations. With minor technical adjustments, the theory is broadened to include considerations of unstable subsystems as well as instability of composite systems.     

Stability analysis of fuzzy large-scale systems

This paper is concerned with the stability problem of fuzzy large-scale systems. Each of them consists of J interconnected subsystems which are represented by Takagi-Sugeno fuzzy models. A stability criterion in terms of Lyapunov's direct method is proposed to guarantee the asymptotic stability of fuzzy large-scale systems. Finally, an example is given to demonstrate the results.