一类随机人口发展系统的指数稳定性

对人口系统的讨论 ,通常的数学模型没有考虑外界环境对系统的影响 .在假设随机的外界环境对迁移产生扰动的条件下 ,给出Hilbert空间中一类随机时变人口发展系统 .对随机时变人口发展系统的均方稳定性和指数稳定性进行了讨论 .利用Burkholder_Davis_Gundy不等式 ,Gronwall引理和Kolmogorov不等式得到了均方稳定和指数稳定的充分条件 .最后提出如果生育率选作控制变量 ,系统仍然是均方和指数稳定的 ,并可进一步讨论它的最优控制问题     

一类非线性切换时延系统的鲁棒稳定性

本文通过利用平均驻留时间方法,研究一类具有不确定性非线性切换时延系统的指数稳定性问题。给出非切换系统的候选李雅普诺夫函数的衰减估计分析,然后以线性矩阵不等式的形式给出使系统保持指数稳定及鲁棒指数稳定的充分条件,同时也给出了系统状态指数衰减的具体的估计形式。     

一类随机混杂系统的稳定性分析

分析了随机Markovian跳跃系统,给出了系统P阶矩指数稳定和几乎必然稳定的概念,并用李代数证明其充分条件,通过数字算例说明了该方法的有效性。     

随机时延离散系统的l2-l∞ 滤波器型迭代学习控制

对于具有随机时廷的一类离散系统的滤波器型迭代学习控制,采用满足Bernoulli分布的二进制序列来描述数据传输的随机时廷,利用线性矩阵不等式方法设计具有随机时廷的l2-l∞滤波器.给出了滤波误差系统均方指数稳定且具有给定的l2-l∞性能的充分条件,分析了滤波器型迭代学习控制收敛的充分条件.仿真实例说明了该设计方法的有效性.     

随机混沌时滞神经网络的指数同步

研究受随机扰动且具有时变时滞神经网络的指数同步. 根据Lyapunov稳定性理论结合线性矩阵不等式技巧, 通过构造含时滞的状态反馈控制器, 使得受到随机扰动的驱动系统和响应系统达到指数同步, 给出了随机时滞神经网络指数同步的新判据, 最后通过仿真验证了所用方法的有效性.     

对带控制器饱和的Markovian跳跃双线性系统稳定时滞估计

研究了带有饱和控制器的时滞Markovian跳跃双线性系统随机镇定问题. 文章先给出了采用无记忆控制的相应无时滞系统局部指数稳定的充分性条件, 然后给出了采用该无记忆控制的时滞系统保持随机稳定性的最大时滞上界估计. 数值算例验证了该方法的有效性.     

基于T-S模糊模型的多时滞非线性网络切换控制系统非脆弱H∞控制

针对一类控制器增益存在摄动的不确定非线性网络切换系统,在系统同时存在随机时变时滞和数据包丢失的情况下,研究系统的非脆弱H_∞控制问题.首先,利用T-S模型,将非线性网络切换系统建模为网络切换模糊系统;其次,将数据包丢失作为时滞处理,并采用Bernoulli分布的随机序列描述该时滞;再次,采用平均驻留时间的方法(ADT)设计系统的切换律及非脆弱状态反馈控制器,并给出网络切换模糊时滞系统指数稳定的平均驻留时间条件;最后,结合李雅普诺夫(LKF)方法给出系统均方指数稳定且满足H_∞性能指标的充分条件.仿真结果验证了所提出设计方法的有效性.     

随机时滞神经网络的全局指数稳定性

首先对一般随机系统的渐近特性进行了讨论.然后结合神经网络的特点,应用李雅普诺夫第二方法对一类随机时滞神经网络系统的全局指数稳定性进行了分析,给出了易于判定随机时滞神经网络几乎必然指数稳定性新的代数判据,并给出实例进行仿真实验.     

一类无限维随机关联大系统的全局指数稳定性

基于箱体理论,利用向量函数法,研究了一类无限维随机非线性关联大系统的全局指数稳定性.通过分析相应的随机微分不等式的稳定性,得到了该类大系统全局指数稳定的一个判据.该判据利用随机大系统的系数矩阵以及与大系统关联的Lyapunov矩阵方程的解构造判定条件来判定大系统的全局指数稳定性,计算简便,便于应用.     

非线性时变系统部分指数稳定的一次近似

通过非线性系统的线性化方法,讨论了一类非线性时变微分系统的解关于部分变量指数稳定的一次近似.利用齐次线性系统的Cauchy矩阵解、截断Cauchy矩阵解和Gronwall_Bellman不等式,得到了线性系统的解部分指数稳定确保原非线性系统的解局部部分指数稳定的充分条件,其中一些结果可以保证部分变量有不同的指数收敛率.最后给出了一些实例说明了所用方法的有效性.     

Robustness of stability of nonlinear systems with stochastic delay perturbations

Suppose there exist random disturbances to a given exponentially stable system and the stochastically perturbed system is described by a stochastic differential-functional equation. In this paper a sufficient condition is given so that the perturbed system remains exponentially stable. In the case where the perturbation depends only on several states of the past we obtain a condition under which the perturbed system is absolutely exponentially stable.     

Relationships between asymptotic stability and exponential stability of positive delay systems

This paper explores the relations between asymptotic stability and exponential stability of continuous-time and discrete-time positive systems with delay. A system is said to be positive if its state and output are non-negative whenever the initial condition and input are non-negative. Two results are obtained. First, if a positive system is asymptotically stable for all bounded (further continuous, for continuous-time systems) time-varying delays, then it is exponentially stable for all such delays. In particular, if a positive system is asymptotically stable for a given constant delay, then it is exponentially stable for all constant delays. Second, if the involved delays are unbounded, then the positive system may be not exponentially stable even if it is asymptotically stable.     

Robust convergence of discrete‐time delayed switched nonlinear systems and its applications to cascade systems

Systems in real world are always subject to perturbations. This paper addresses the convergence properties of a class of nominal systems with perturbations. It is assumed that the nominal system is a switched nonlinear exponentially stable one with time‐varying delays and that the perturbation exponentially or asymptotically converges to zero. It is revealed that the trajectories of the perturbed system behave as the perturbation, ie, trajectories exponentially or asymptotically converge to zero, depending on the property of perturbation. Applying these results to cascade switched nonlinear systems, it is shown that such systems are exponentially stable if and only if all the subsystems, obtained by removing the coupling terms, are exponentially stable. A similar conclusion is presented for systems being asymptotically stable. Finally, a numerical example illustrates the proposed theoretical results.     

Interval observers for linear time-invariant systems with disturbances

It is shown that, for any time-invariant exponentially stable linear system with additive disturbances, time-varying exponentially stable interval observers can be constructed. The technique of construction relies on the Jordan canonical form that any real matrix admits and on time-varying changes of coordinates for elementary Jordan blocks which lead to cooperative linear systems. The approach is applied to detectable linear systems.     

Stability of stochastic interval systems with time delays

Consider a given exponentially stable system undergoing a random perturbation which is dependent on a past state of the solution of the system. Suppose this stochastically perturbed system is described by a stochastic differential-functional equation. In this paper, we establish a sufficient condition that the perturbed system remains exponentially stable. Using a specific example, we show how this condition may be used, and we extend it to deal with multiple time delays.     

Stabilization of exponentially unstable linear systems withsaturating actuators

We study the problem of stabilizing exponentially unstable linear systems with saturating actuators. The study begins with planar systems with both poles exponentially unstable. For such a system, we show that the boundary of the domain of attraction under a saturated stabilizing linear state feedback is the unique stable limit cycle of its time-reversed system. A saturated linear state feedback is designed that results in a closed-loop system having a domain of attraction that is arbitrarily close to the null controllable region. This design is then utilized to construct state feedback laws for higher order systems with two exponentially unstable poles     

Stability analysis of complex discrete systems with locally and globally stable subsystems

This paper is concerned with the stability analysis of interconnected systems composed of locally and globally exponentially stable subsystems. Sufficient conditions for not necessarily asymptotic and exponentially asymptotic stability are derived. The problem of estimating the stability region of the composite system is also considered.     

Asymptotic stabilization of infinite-dimensional systems which cannot be exponentially stabilized

The question of the stabilization by state feedback of an infinite-dimensional continuous-time system is discussed. Systems are introduced for which no state feedback exists such that the closed-loop system is exponentially stable. But it is shown that a state feedback exists such that the closed-loop system is asymptotically stable.     

Adaptive event-triggered control of discrete-time networked systems against randomly occurring infinite distributed delays,random packet losses and sensor saturation

The saturation input control problem of discrete-time networked systems via adaptive event-triggered communication scheme is discussed in this paper. The criteria are derived by utilising a new Lyapunov functional to guarantee that the considered networked system with randomly occurring infinite distributed delays, random packet losses and sensor saturation is exponentially stable in mean square sense. A novel adaptive event-triggered law is proposed, which is dependent on the exponentially stable index α. The effectiveness of our proposed method is illustrated by both theoretical analysis and numerical simulations.     

Interval observers for discrete‐time systems

Interval observers are constructed for discrete‐time systems. First, time‐invariant interval observers are proposed for a family of nonlinear systems. Second, it is shown that, for any time‐invariant exponentially stable discrete‐time linear system with additive disturbances, time‐varying exponentially stable discrete‐time interval observers can be constructed. The latter result relies on the design of time‐varying changes of coordinates, which transform a linear system into a nonnegative one. Copyright © 2013 John Wiley & Sons, Ltd.