一类变时滞复数Cohen-Grossberg神经网络的动态行为分析

研究了一类具有变时滞的复数域Cohen-Grossberg神经网络平衡点的动态行为.在假定激活函数满足Lipschitz条件并且放大函数只满足具有下界的情况下, 利用M矩阵和同胚映射原理, 得到了确保该系统平衡点的存在性和唯一性的充分条件.基于矢量Lyapunov函数法和不等式技术, 得到了确保该系统平衡点的模指数稳定性的判据.该判据形式简单, 在实际应用时便于检验.该文所取得的研究成果推广了现有结论.最后通过给出一个数值算例和仿真结果验证了所得结论的正确性和可行性.     

具有时滞和脉冲干扰的大系统鲁棒指数稳定性

利用向量Lyapunov函数法,研究了一类具有输入扰动、可变时滞和脉冲干扰的非线性大系统的鲁棒指数稳定性.在假定大系统的每个子系统都能被指数镇定,且闭环系统的稳定反馈和相应的Lyapunov函数已知的前提下,给出该大系统鲁棒指数稳定的充分条件,并得到系统的指数收敛率.最后用两个数值算例说明结论的正确性和有效性.     

不确定Lur'e系统的鲁棒脉冲饱和镇定

对一类参数不确定的Lur'e系统,提出了具有饱和执行器的脉冲镇定问题.将饱和非线性项表示为有限个线性函数的凸组合,运用与脉冲时间序列关联的时变Lyapunov函数,建立了具有饱和脉冲输入的不确定Lur'e系统指数稳定性的判据,并获得了零解吸引域的估计.然后,基于线性矩阵不等式,给出了脉冲饱和控制器存在的条件,同时给出了求解最大吸引域估计的凸优化问题.最后,数值实例验证了所提出方法的有效性.     

广义大系统的Lyapunov稳定性分析

广义大系统的稳定性是一个非常重要的问题 ,由于广义大系统的复杂性 ,对其稳定性的研究也是一件相当困难的事情 .本文利用 Lyapunov方程 ,应用 Lyapunov函数法 ,研究了广义线性大系统和广义非线性大系统的稳定性和不稳定性 ,得到了系统的关联稳定参数域和不稳定域 .给出例子说明该方法的可行性 .     

模糊线性方程的结构元求解方法

基于模糊结构元方法,通过单调函数的自反单调变换全面系统的给出了在实数域和复数域上模糊线性方程求解的具体方法,并讨论了方程解存在的条件.同时,将这种求解方法应用到求解双重模糊线性方程.     

具有时变灰参数的随机时滞系统的p-阶矩指数鲁棒稳定性

利用灰矩阵的矩阵覆盖集的分解技术和Lyapunov函数法,研究了具有时变灰色参数的随机时滞系统的p-阶矩指数鲁棒稳定性问题,得到了该系统p-阶矩指数鲁棒稳定的时滞独立和时滞依赖的条件,并通过数值例子说明了判别条件的有效性和实用性.     

给定零点的指数型整函数Ⅱ

研究了如下问题:给定右半平面一复数列,以该复数列为零点的指数型整函数在虚轴上的增长性有什么表现?并给出了完整的解答.这是对Malliavin和Rubel关于给定右半平面一复数列为零点的指数型整函数性质的研究工作的一个推广.     

带分数阶磁效应的压电梁在有/无热效应时的稳定性

该文考虑了具有分数阶磁效应的一维压电梁系统的适定性及稳定性.首先,通过引入新函数将原系统转换为不含分数阶边界项的等价系统,并利用Lumer-Philips定理证明了该系统的适定性.然后,基于谱分析证得无热效应的压电梁系统的非指数稳定性,并借助Borichev-Tomilov定理^[33]进一步推得系统是多项式稳定的.此外,该文又讨论了有热效应的压电梁系统的适定性,并借助扰动泛函方法证明了压电梁系统在带有热效应时的指数稳定性.     

Robin型边界阻尼波动方程的半离散一致指数稳定逼近

对一维Robin型边界阻尼波动方程构造了一个新的等距网格上的半离散有限差分格式,该格式没有数值粘性项,且可以保持系统的一致指数稳定性.通过引进一个新的辅助函数,利用Lyapunov函数方法证明了半离散格式的一致指数稳定性.数值实验验证了理论结果.     

复数域中的微积分基本定理

根据复变函数与实变函数在许多概念、理论和方法上的相似之处,将实数域上的微积分基本定理适当推广至复数域.此外,给出一个复平面区域上的每一个解析函数都有原函数的等价条件.     

基于忆阻的分数阶时滞复值神经网络的全局渐近稳定性

研究了分数阶复值神经网络的稳定性.针对一类基于忆阻的分数阶时滞复值神经网络,利用Caputo分数阶微分意义上Filippov解的概念, 研究其平衡点的存在性和唯一性.采用了将复值神经网络分离成实部和虚部的研究方法, 将实数域上的比较原理、不动点定理应用到稳定性分析中, 得到了模型平衡点存在性、唯一性和全局渐近稳定性的充分判据.数值仿真实例验证了获得结果的有效性.     

带有变化分布时滞的复值神经网络Lagrange稳定性

研究了带有变化分布时滞的复值神经网络Lagrange稳定性问题.通过构造合适的Lyapunov Krasovskii泛函, 并使用矩阵不等式技巧,建立了网络全局指数Lagrange稳定性的判定条件.提供的判据是复值线性矩阵不等式, 能够使用MATLAB软件的YALMIP工具箱快速计算.     

Stability analysis of fractional-order complex-valued neural networks with time delays

In this paper, we consider the problem of stability analysis of fractional-order complex-valued Hopfield neural networks with time delays, which have been extensively investigated. Moreover, the fractional-order complex-valued Hopfield neural networks with hub structure and time delays are studied, and two types of fractional-order complex-valued Hopfield neural networks with different ring structures and time delays are also discussed. Some sufficient conditions are derived by using stability theorem of linear fractional-order systems to ensure the stability of the considered systems with hub structure. In addition, some sufficient conditions for the stability of considered systems with different ring structures are also obtained. Finally, three numerical examples are given to illustrate the effectiveness of our theoretical results.     

The Basis Properties of Some Systems of Exponential Functions,Cosines, and Sines

We consider some systems of exponential functions, cosines, and sines with complex-valued coefficients and establish a necessary and sufficient condition for completeness and minimality of these systems in Lebesgue spaces.     

Stability of complex-valued impulsive and switching system and application to the Lü system

In this paper, the stability of complex-valued impulsive and switching system is addressed. By using switched Lyapunov functions on a complex field, some new stability criteria of complex-valued impulsive and switching systems are established, which not only generalize some known results in the literature, but also greatly reduce the complexity of analysis and computation. As an application, a new hybrid impulsive and switching feedback controller for the complex-valued chaotic Lü system is designed.     

SO(3)-Structures on 8-manifolds

Suppose that the Laplace operator of a complete Riemannian manifold admits two linearly independent real-valued eigenfunctions, which do not vanish simultaneously. Consider the complex-valued function with these functions as the real and imaginary parts. This last function never vanishes and defines a homotopically non-trivial map into the punctured complex plane.     

Impulsive stabilization of complex-valued stochastic complex networks via periodic self-triggered intermittent control

The aim of this article is to research the stabilization issue of complex-valued stochastic Markovian switching complex networks with time delays and time-varying multi-links (CSMCTM) via periodic self-triggered intermittent impulsive control (PSIIC). Thereinto, PSIIC is designed for the first time by combining intermittent impulsive control with periodic self-triggered control for intermittent control. It is worth emphasizing that the triggered protocol is designed to be more flexible, and easier to implement than previously reported triggered protocol. Then, by means of impulsive control, intermittent control, event-driven control theory and stability analysis, a stabilization criterion of CSMCTM in the sense of exponential stability in mean square is obtained. Whereafter, the stability of a class of complex-valued inertial neural networks is researched as a practical application of our theoretical results. Ultimately, a numerical example gives a corresponding verification.     

时间标度上时滞脉冲复值神经网络的全局稳定性

研究了时间标度上具有时滞和脉冲影响的复值神经网络的全局稳定性问题.利用时间标度上的微积分理论,将连续时间型复值神经网络和离散时间型复值神经网络统一在同一个框架下进行研究.在不要求激励函数有界的条件下,运用同胚映射原理,建立了确保时滞复值神经网络平衡点存在性和唯一性的判定条件.通过构造合适的Lyapunov-Krasovskii泛函,并使用自由权矩阵方法和矩阵不等式技巧,获得了时间标度上具有时滞和脉冲影响的复值神经网络平衡点全局稳定性的充分条件.给出的判据是由复值线性矩阵表示的,易于MATLAB软件的YALMIP Toolbox实现.数值仿真实例验证了获得结果的有效性.     

Exponential estimates for singularly perturbed linear fuctional differential equations

Exponential estimates on the fundamental matrix, uniform on the perturbation parameter, are obtained for singularly perturbed systems of linear retarded functional differential equations, under the assumption that the eigenvalues of a certain coefficient matrix in the system have negative real parts. The exponential rates in the estimates are computable from upper bounds on the real parts of the characteristic values of the system or of associated simpler equations. Differences between differential-difference equations and equations with distributed delays are emphasized.