Stability property of impulsive inertial neural networks with unbounded time delay and saturating actuators

被引：0
作者：
Deqiang Ouyang
Jie Shao
Cheng Hu
机构：
[1] University of Electronic Science and Technology of China,Center for Future Media, School of Computer Science and Engineering
[2] Xinjiang University,College of Mathematics and System Sciences
来源：
Neural Computing and Applications | 2020年 / 32卷
关键词：
Stability property; Unbounded delay; Impulsive effect; Inertial neural networks; Saturating actuators;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper considers the stability property of impulsive inertial neural networks with unbounded delay and saturating actuators. Based on polytopic representation approach, some sufficient conditions to ensure global asymptotic stability are obtained for impulsive inertial neural networks. By using Lyapunov function with the matrix form of 2-norm, we obtain some conditions to ensure the stability of impulsive inertial neural networks. Finally, the validity of this method is verified by several simulation examples.
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页码：6571 / 6580
页数：9
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