摘要
研究了一类具时滞离散递归神经网络平衡点的全局指数稳定性问题.对连续有界激活函数做扇形非线性条件假定,用Lyapunov-Krasovskii稳定性理论和线性矩阵不等式方法,得到了具时滞离散递归神经网络模型在平衡点全局指数稳定的一些充分条件.数值例子说明了本文结果的有效性.
The main purpose of this paper is to study the globally exponential stability of the equilibrium point for a class of discrete-time recurrent neural networks with time-varying delays.The Lyapunov-Krasovskii stability theory is applied and some new techniques are then developed.Combined with linear matrix inequality,some sufficient conditions for globally exponential stability of discrete-time recurrent neural networks with time-varying delays are obtained.A numerical example is finally given as an illustration.
出处
《昆明理工大学学报（自然科学版）》
CAS
北大核心
2011年第1期67-71,78,共6页
Journal of Kunming University of Science and Technology(Natural Science)
基金
江苏省教育厅基金项目(项目编号:06KJD110206)
