Stability of coupled impulsive Markovian jump reaction-diffusion systems on networks

This paper is devoted to the investigation of stability for a class of coupled impulsive Markovian jump reaction-diffusion systems on networks (CIMJRDSNs). By using graph theory, a systematic method is provided to construct global Lyapunov functions for the CIMJRDSNs. Based on Lyapunov functions and stochastic analysis method, some novel stability principles associated with the topology property of the networks are established.     

Prescribed-Time Control of Stochastic Nonlinear Systems with Reduced Control Effort

A new prescribed-time state-feedback design is presented for stochastic nonlinear strictfeedback systems. Different from the existing stochastic prescribed-time design where scaling-free quartic Lyapunov functions or scaled quadratic Lyapunov functions are used, the design is based on new scaled quartic Lyapunov functions. The designed controller can ensure that the plant has an almost surely unique strong solution and the equilibrium at the origin of the plant is prescribed-time mean-square stable. After that, the authors redesign the controller to solve the prescribed-time inverse optimal mean-square stabilization problem. The merit of the design is that the order of the scaling function in the controller is reduced dramatically, which effectively reduces the control effort. Two simulation examples are given to illustrate the designs.     

Stabilization of nonlinear time-varying systems: a control lyapunov function approach

This paper presents a control Lyapunov function approach to the global stabilization problem for general nonlinear and time-varying systems. Explicit stabilizing feedback control laws are proposed based on the method of control Lyapunov functions and Sontag's universal formula.     

脉冲多时滞Lurie控制系统的绝对稳定性

针对脉冲多时滞Lurie控制系统,结合线性矩阵不等式技术,分别利用Lyapunov泛函和Razumkhin-Lyapunov函数法研究了这类系统绝对稳定性的充分条件,得到了这类系统的绝对稳定性准则.利用Lyapunov泛函建立的准则将相关结果推广到相应的脉冲系统.利用Razumkhin-Lyapunov函数法建立的准则考虑了脉冲效应和脉冲时刻对系统稳定性的影响.给出了算例说明数值处理的方法,同时说明所得结果的有效性。     

Asymptotic controllability of a class of discrete-time systems with disturbances

This article deals with the uniformly globally asymptotic controllability of discrete nonlinear systems with disturbances. It is shown that the system is uniformly globally asymptotic controllability with respect to a closed set if and only if there exists a smooth control Lyapunov function. Further, it is obtained that the control Lyapunov function may be used to construct a feedback law to stabilize the closed-loop system. In addition, it is proved that for periodic discrete systems, the resulted control Lyapunov functions are also time periodic.     

Stabilization of discrete nonlinear systems based on control Lyapunov functions

The stabilization of discrete nonlinear systems is studied. Based on control Lyapunov functions, a sufficient and necessary condition for a quadratic function to be a control Lyapunov function is given. From this condition, a continuous state feedback law is constructed explicitly. It can globally asymptotically stabilize the equilibrium of the closed-loop system. A simulation example shows the effectiveness of the proposed method.     

Stability of impulsive linear hybrid systems with time delay

<正> This paper investigates the stability of impulsive linear hybrid systems with time delay.And a number of delay-independent/delay-dependent stability criteria are obtained by using Lyapunovfunctions or Lyapunov functionals.Two examples are also presented to illustrate the effectiveness ofthe obtained results or to compare with the existing results.     

一类时滞线性参数变化系统的H∞控制

研究一类时滞线性参数变化(LPV)系统的H_∞控制问题,采用基于仿射参数的Lyapunov函数提出了稳定性能分析和控制器设计的充分条件.同时应用投影定理,借助附加矩阵解除了参数的Lyapunov函数矩阵与系统矩阵的耦合,得到以线性矩阵不等式(LMI)形式表示的条件.并且通过多凸技术把得到的无限维线性矩阵不等式转换为有限维线性矩阵不等式,从而使问题可以求解.数值仿真表明,性能得到满足同时也证明了方法的可行性.     

非线性时变系统的部分指数稳定性分析

讨论了非线性时变系统平凡解的部分指数稳定性和全局部分指数稳定性。分别利用数量与向量Lyapunov函数并结合数量与向量比较原理,得到了保证系统平凡解部分指数稳定和全局部分指数稳定的一系列充分条件。作为特殊情形,对于一类定常拟线性系统,在一定的条件下,若其对应的线性系统的平凡解是部分渐近稳定的,利用二次型Lyapunov函数得到了保证拟线性系统的平凡解是全局部分指数稳定的一个代数判据,这些结果在实际应用中具有一定的指导意义。最后用两个数值例子对所得主要结果加以阐明。     

Universal construction of control Lyapunov functions for a class of nonlinear systems

A method is developed by which control Lyapunov functions of a class of nonlinear systems can be constructed systematically.Based on the control Lyapunov function,a feedback control is obtained to stabilize the closed-loop system.In addition,this method is applied to stabilize the Benchmark system.A simulation shows the effectiveness of the method.     

基于神经网络的Lyapunov指数谱的计算

利用 BP神经网络的非线性函数逼近能力 ,由实验观察数据列计算系统的 Lyapunov指数谱 .实例计算表明 ,此种方法精度较高且计算量较小 ,有重要的实际意义.     

混沌系统的一种新型模糊控制方法

基于T-S模糊动态模型,针对气象学中的Lorenz混沌系统设计出一种新型的模糊控制器和模糊观测器,均采用分段Lyapunov函数法进行设计,即对每一个子系统选一个Lyapunov函数,系统总的Lyapunov函数为各个子系统的加权和。避免了并行分配补偿法(PDC)中求解公共正定矩阵P的困难,进一步减少了设计中的保守性,扩大了解的范围。并就其稳定性问题进行了研究。得出了系统全局渐近稳定的条件。模糊观测器的设计解决了系统状态不能直接测量的问题。通过对Lorenz混沌系统的仿真,证明了该方法的有效性。该方案也适合其他类型的非线性系统,有实际应用价值。     

Asymptotic and stable proper ties of general stochastic functional differential equations

The asymptotic and stable properties of general stochastic functional differential equations are investigated by the multiple Lyapunov function method, which admits non-negative up-per bounds for the stochastic derivatives of the Lyapunov functions, a theorem for asymptotic properties of the LaSal e-type described by limit sets of the solutions of the equations is obtained. Based on the asymptotic properties to the limit set, a theorem of asymptotic stability of the stochastic functional differential equations is also established, which enables us to construct the Lyapunov functions more easily in application. Particularly, the wel-known classical theorem on stochastic stability is a special case of our result, the operator LV is not required to be negative which is more general to fulfil and the stochastic perturbation plays an important role in it. These show clearly the improvement of the traditional method to find the Lyapunov functions. A numerical simulation example is given to il ustrate the usage of the method.     

变时滞广义神经网络的指数稳定性

讨论具有可变时滞的Cohen Grossberg广义神经网络平衡态的稳定性问题。以推广的Halanay微分不等式为工具,通过构造合适的Lyapunov函数,结合Dini导数和不等式技巧,对具有可变时滞(适合于任何时滞有界情况)的广义神经网络平衡态的指数稳定性进行分析。在适当的假设条件下,得到了系统渐近指数稳定的几个充分性判据,与此同时也给出了相应的Lyapunov指数。     

执行器饱和离散时间线性系统鲁棒稳定性

针对含执行器饱和离散时间线性参数依赖系统,分别采用独立的、仅参数依赖、同时参数和饱和依赖的二次李亚普诺夫函数方法去估计其不变吸引域,分别导出系统有着不变吸引椭球的以线性矩阵不等式(LMIs)表述的充分性条件。为得到保守性小的估计,分别提出了以上述LMIs作约束的相应优化算法。最后,算例显示同时参数和饱和依赖李亚普诺夫函数处理法所得结果的保守性较之其它两法要小。     

Robust Stabilization for Uncertain Control Systems Using Piecewise Quadratic Lyapunov Functions

The sufficient condition based on piecewise quadratic simultaneous Lyapunov functions for robust stabilization of uncertain control systems via a constant linear state feedback control law is obtained. The objective is to use a robust stability criterion that is less conservative than the usual quadratic stability criterion. Numerical example is given, showing the advanteges of the proposed method.     

离散时间随机系统的稳定性分析

对由定常非线性随机差分模型所定义状态空间为一般可测空间的离散时间随机系统，本文应用一般状态马氏链遍历性有关理论分析了系统的稳定性问题，给出了由系统相应确定性部分的Ｌｙａｐｕｎｏｖ函数来判别系统稳定的若干充分条件。     

时滞竞争神经网络的全局指数稳定性

对于不同时标的时变时滞竞争神经网络的网络模型,通过构造适当的Lyapunov函数,结合微分不等式分析,研究了时变时滞竞争神经网络的全局指数稳定性,获得了新的全局指数稳定性判据,所得判据推广和改进了前人的相关结论。最后的数值仿真例子证明了该算法的有效性。     

Razumikhin-type theorems for asymptotic stability of impulsive stochastic functional differential systems

<正>In this paper,we investigate the pth moment uniformly asymptotic stability of impulsive stochastic functional differential systems by extending some Razumikhin-type theorems.Based on the Lyapunov functions and Razumikhin techniques,some criteria are established and their applications to impulsive stochastic delay systems are proposed.An illustrative example shows the effectiveness of our results.     

一类延时细胞神经网络的指数周期性与稳定性

细胞神经网络动态行为的研究是细胞神经网络应用的理论基础。对一类具分布延时细胞神经网络,研究了其全局指数周期性与稳定性。在输出函数满足全局Lipschitz连续的条件下,通过构造合适的Lyapunov泛函,给出了延时细胞神经网络全局指数周期性与稳定性的容易验证的充分条件。给出了算例及其仿真结果来验证所得结论,并说明所得结论与文献[16]的结论是相互独立的。