Existence of periodic solution for discrete-time cellular neural networks with complex deviating arguments and impulses

被引：19
|
作者：
Yang, Xinsong [1 ]
Li, Fen [2 ,3 ]
Long, Yao [1 ]
Cui, Xiangzhao [1 ]
机构：
[1] Honghe Univ, Dept Math, Mengzi 661100, Yunnan, Peoples R China
[2] Yunnan Vocat Coll Mech & Elect Technol, Dept Elect Engn, Kunming 650203, Peoples R China
[3] Beijing Univ Posts & Telecommun, Econ & Management Sch, Beijing 100876, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2010年 / 347卷 / 02期
关键词：
Cellular neural networks; Impulse; Periodic solution; Complex deviating arguments; GLOBAL EXPONENTIAL STABILITY; DELAYS;
D O I：
10.1016/j.jfranklin.2009.12.004
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A class of discrete-time cellular neural networks with complex deviating arguments and impulses are considered. Sufficient conditions for the existence of periodic solution are obtained by using contraction theorem and inequality techniques. The results of this paper are new. An example is employed to illustrate our results. (C) 2009 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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页码：559 / 566
页数：8
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