Exponential Stability of Pseudo Almost Periodic Solutions for Neutral Type Cellular Neural Networks with D Operator

被引：0
作者：
Yanli Xu
机构：
[1] Xiangnan University,School of mathematics and finance
来源：
Neural Processing Letters | 2017年 / 46卷
关键词：
Global exponential stability; Pseudo almost periodic solution; Neutral type; Cellular neural network; operator; 34C25; 34K13;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This article is concerned with a class of neutral type cellular neural networks with D operator. By using Lyapunov functional method and differential inequality techniques, we establish a novel result to ensure the existence and global exponential stability of pseudo almost periodic solutions for the addressed system. In addition, an example and its numerical simulations are given to illustrate our result.
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页码：329 / 342
页数：13
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