电子科技大学学报Issue(4)：625-629,5.DOI:10.3969/j.issn.1001-0548.2013.04.018
多比例时滞细胞神经网络的全局一致渐近稳定性
Global Uniform Asymptotic Stability of Cellular Neural Networks with Mutli-Porportional Delays
摘要
Abstract
A class of cellular neural networks with multi-proportional delays is studied in this paper. The transformation zi (t)=yi (et ) transforms cellular neural networks with multi-proportional delays into cellular neural networks with variable coefficient and constant delays, and then constructing Lyapunov functionals, some delay-independent sufficient conditions are given. These new sufficient conditions can ensure global uniform asymptotic stability of this system. An example is given to illustrate the correctness of obtained results.关键词
细胞神经网络/全局一致渐近稳定性/比例时滞Key words
cellular neural networks/global uniform asymptotic stability/proportional delays分类
数理科学引用本文复制引用
周立群..多比例时滞细胞神经网络的全局一致渐近稳定性[J].电子科技大学学报,2013,(4):625-629,5.基金项目
国家自然科学基金(60974144)；天津市高等学校科技发展基金(20100813) （60974144）
