摘要
基于Lyapunov稳定性理论,利用非平滑分析的方法去掉了激励函数可微和有界的条件,通过构造一种新颖的Lyapunov泛函推广改善了判定时滞神经网络系统的全局稳定性的条件.数值仿真表明了结果的有效性.
Based on Lyapunov stability theory, this paper is concerned with the global asymptotic stability problem of the delayed neural network by constructing a novel Lyapunov functional. And this paper generalizes the global asymptotic stability conditions of neural network system by removing the differentiable and bounded conditions of activation function with the nonsmooth Analysis. The simulation example is given to illustrate the effectiveness of the results.
出处
《数学的实践与认识》
CSCD
北大核心
2013年第21期278-283,共6页
Mathematics in Practice and Theory
基金
山东省优秀中青年科学家科研奖励基金(BS2010SF001)
滨州学院科研基金(2010Y09)