New Results on Exponential Convergence for Cellular Neural Networks with Continuously Distributed Leakage Delays

被引：0
|
作者：
Aiping Zhang
机构：
[1] Hunan University of Technology,School of Science
来源：
Neural Processing Letters | 2015年 / 41卷
关键词：
Cellular neural network; Exponential convergence; Continuously distributed delay; Leakage term; 34C25; 34K13; 34K25;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper discusses the issue of a class of cellular neural networks with continuously distributed delays in the leakage terms. By applying Lyapunov functional method and differential inequality techniques, without assuming the boundedness conditions on the activation functions, a new delay dependent sufficient condition is derived to ensure that all solutions of the networks converge exponentially to the zero point, which corrects some recent results of Xiong and Meng (Electron J Qual Theory Differ Equ, (10):1–12, 2013. http://www.math.u-szeged.hu/ejqtde/).
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页码：421 / 433
页数：12
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