不确定随机时滞系统的时滞相关鲁棒镇定

研究一类不确定随机时滞系统的时滞相关鲁棒镇定问题.通过引入参数化的中立型模型变换,构造Lyapunov-krasovskii泛函,运用线性矩阵不等式方法,得到了使得闭环系统为均方指数稳定的保守性较小的时滞相关鲁棒镇定条件.     

一类随机系统的有限时间镇定

讨论随机系统的有限时间镇定问题.首先提出了随机系统有限时间稳定的概念;其次证明了随机系统有限时间稳定的Lyapunov定理;然后,讨论了一类随机系统的镇定问题.     

一类非线性不确定系统的全局指数镇定

研究一类非线性不确定系统的全局指数镇定问题.提出了连续反馈控制器的设计方法,并给出一类非线性不确定系统全局指数镇定的充分条件.如果充分条件得到满足,证明了提出的连续反馈控制使得闭环系统是全局指数稳定的.实例表明了所得结果的有效性.     

具有随机时延的模糊不确定网络控制系统的指数镇定

研究了一类非线性不确定网络系统的指数镇定问题.根据网络诱导时延在不同区间上取值,引入满足Bernoulli分布的随机变量,建立新的非线性网络系统模型.利用Lyapunov稳定性理论,以线性矩阵不等式形式给出系统均方指数镇定条件和模糊控制器设计策略.仿真算例说明了方法的有效性.     

不确定脉冲随机系统的几乎必然指数稳定和随机镇定（英文）

对不确定脉冲随机系统的几乎必然指数稳定性和随机状态反馈镇定进行研究.考虑了三种不同作用的脉冲:镇定型的脉冲、干扰型的脉冲、中立型的脉冲.利用Lyapunov函数和线性矩阵不等式工具,得到系统基于线性矩阵不等式形式的几乎必然指数稳定性判据,该判据表明若脉冲的强度和发生的频率与噪声强度及相应连续系统的增减速率相互协调,则系统的解可达到稳定状态.在稳定性分析的基础上,进一步研究了系统的随机状态反馈镇定问题.数值例子及仿真证明了文章方法的有效性.     

脉冲时滞微分系统的弱指数渐近稳定性

研究了脉冲时滞微分系统的弱指数渐近稳定性.利用Razumikhin-Lyapunov函数方法得到系统弱指数渐近稳定的充分判据.提出"可脉冲弱指数镇定"及"脉冲控制模式"的概念.对一类较一般的n阶非线性脉冲时滞系统的脉冲镇定问题作了深入探讨.     

一类非自治随机时滞系统的状态反馈镇定

本文讨论一类非自治随机时滞系统的状态反馈镇定问题.一方面,考虑到模型的特征(复杂非线性、随机以及非自治),本文在反步框架下设计随机时滞系统的时变反馈控制器,给出相应的状态反馈控制策略;另一方面,基于随机Razumikhin稳定性理论来分析系统的依概率全局渐近稳定性,放宽了系统镇定对时滞项的要求.最后,利用数值仿真验证了反馈控制器及控制策略的有效性.     

区间系统的量化混杂反馈镇定

量化反馈镇定是控制理论中一个重要的研究领域.近年来得到了很多深刻的结果.研究一类区间系统的量化反馈镇定.在一定条件下,采用放大缩小参数的方法,构造了量化控制律,使系统实现反馈镇定.     

一类It型非线性时滞关联随机大系统的分散鲁棒控制

在非线性项满足全局Lipschitz条件下,本文研究了一类It型非线性时滞关联随机大系统的分散鲁棒控制问题.系统的时滞是关于状态和控制输入的.基于Lyapunov泛函及线性矩阵不等式(LMI)的分析方法,得到了无记忆状态反馈控制器使整个时滞关联随机大系统可镇定的充分条件.     

一类Itô型非线性时滞关联随机大系统的分散鲁棒控制

在非线性项满足全局Lipschitz条件下,本文研究了一类It(o)型非线性时滞关联随机大系统的分散鲁棒控制问题.系统的时滞是关于状态和控制输入的.基于Lyapunov泛函及线性矩阵不等式(LMI)的分析方法,得到了无记忆状态反馈控制器使整个时滞关联随机大系统可镇定的充分条件.     

Exponential stabilization of stochastic interval system with time dependent parameters

There has been growing interest in analyzing stability in design controls of stochastic systems. This interest arises out of the need to develop robust control strategies for systems with uncertain dynamics. This paper is concerned with the examination of conditions under which the desired structure of a stochastic interval system with time dependent parameters is stabilizable. Necessary and sufficient condition under which two-level preconditioner guarantees quadratic mean exponential stability of the desired structure of uncontrolled stochastic interval system is presented. Sufficient condition for exponential stability of the equilibrium solution of uncontrolled stochastic interval system is also presented.     

Boundedness,persistence and extinction of a stochastic non-autonomous logistic system with time delays

This paper investigates the stochastic non-autonomous logistic system with time delays. Under two simple assumptions on the environmental noise, it is shown that the stochastic system has a unique global positive solution, and this positive solution is asymptotically bounded. The conditions for extinction, weak persistence of solutions are also obtained by the exponential martingale inequality. Finally, a numerical example is provided to illustrate our results.     

Stability of Delayed Markovian Switching Stochastic Neutral-type Reaction-diffusion Neural Networks

This paper is concerned about exponential stability in mean square of Markovian switching delayed reaction-diffusion neutral-type stochastic neural networks (RNSNNs). By Lyapunov function method, several novel stability criteria on exponential mean square stability of Markovian switching RNSNNs with time-varying delays are obtained. In the end, two examples are given to verify the feasibility of our findings.     

Exponential stability of numerical solutions to a stochastic age-structured population system with diffusion

The main aim of this paper is to investigate the exponential stability of the Euler method for a stochastic age-structured population system with diffusion. The definition of exponential mean square stability of numerical method is introduced. It is proved that the Euler scheme is exponentially stable in mean square sense. An example is given for illustration.     

A continuity theorem and some counterexamples for the theory of maintained systems

The reliability of maintained systems is considered. A “continuity theorem” is presented which states that the stochastic behavior of a maintained system depends continuously on the stochastic behavior of its components. Examples of maintained systems with IFR component lifetimes and exponential repair times are presented for which time until first system failure is not NBU.     

不确定中立型线性随机时滞系统的鲁棒稳定性

建立了中立型随机微分时滞方程的LaSalle不变原理,然后应用LaSalle不变原理讨论了不确定中立型随机时滞系统的随机渐近稳定和几乎必然指数稳定的代数判据, 同时给出示例说明结果的有效性．     

Razumikhin-type theorem for pth exponential stability of impulsive stochastic functional differential equations based on vector Lyapunov function

This paper is concerned with the pth moment exponential stability of stochastic functional differential equations with impulses. Based on average dwell-time method, Razumikhin-type technique and vector Lyapunov function, some novel stability criteria are obtained for impulsive stochastic functional differential systems. Two examples are given to demonstrate the validity of the proposed results.     

一般状态空间马氏链随机泛函的指数矩

本文研究了一般状态空间马氏链随机泛函的指数矩.利用最小非负解理论,得到了随机泛函的指数矩是相应方程的最小非负解,推广了可数状态空间马氏链的结果,作为应用,证明了随机泛函的指数矩与漂移条件等价.     

Stochastic model for the nonlinear point reactor kinetics equations in the presence Newtonian temperature feedback effects

A stochastic model for the nonlinear point reactor kinetics equations with Newtonian temperature feedback and multi-group of precursor delayed neutrons is presented. This model is a couple of the stiff stochastic nonlinear differential equations. The matrix formula of this stochastic nonlinear model is solved by the analytical exponential technique (AET). This proposed technique is based on the integration factor, Euler’s method and the exponential function of the coefficient matrix. This exponential function is determined via the eigenvalues and corresponding eigenvectors of the coefficient matrix. The mean neutron population of the stochastic nonlinear model in the presence Newtonian temperature feedback and six-groups of delayed neutrons is computed for various cases of the external reactivity. The numerical results of the analytical exponential technique are compared with the results of the Euler–Maruyama method and the deterministic results. This comparison confirms that the AET for stochastic nonlinear model is efficient to study the natural behavior of neutron population in the presence temperature feedback effects and multi-group of precursor delayed neutrons.     

Dynamic analysis of stochastic bidirectional associative memory neural networks with delays

In this paper, stochastic bidirectional associative memory neural networks model with delays is considered. By constructing Lyapunov functionals, and using stochastic analysis method and inequality technique, we give some sufficient criteria ensuring almost sure exponential stability, pth exponential stability and mean value exponential stability. The obtained criteria can be used as theoretic guidance to stabilize neural networks in practical applications when stochastic noise is taken into consideration.