Exponential Stability of Complex-valued Neural Networks with Impulsive Disturbances

被引：0
|
作者：
Xu, Xiaohui [1 ]
机构：
[1] Xihua Univ, Sch Transportat & Automot Engn, Chengdu 610039, Peoples R China
来源：
4TH INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING FOR ADVANCED TECHNOLOGIES (ICMEAT 2015) | 2015年
关键词：
Neural Networks; Complex-valued; Stability; Impulsive; Time Varying Delays;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A class of complex-valued neural networks with impulsive disturbances and time varying delays were studied in this paper. By applying the vector Lyapunov function method and mathematical induction method, some sufficient conditions for assuring the exponential stability of the equilibrium point of the system were obtained. The obtained conditions generalized the existing results. The correctness of the conditions is illustrated by a numerical example.
引用
收藏
页码：435 / 439
页数：5
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