计算机与数字工程Issue(3)：349-352,4.DOI:10.3969/j.issn1672-9722.2015.03.001
基于 M 矩阵理论的时滞细胞神经网络稳定性分析*
Stability of Delayed Cellular Neural Networks Basedon M-matrix Theory
摘要
Abstract
This paper deals with the stability of delayed cellular neural networks .By using the M‐matrix theory with its judgment lemma and applying appropriate linear parameter transformation ,the condition of the stability of the system is de‐duced .Compared with the Lyapunov method ,this paper provides a simpler one which reduces the original conservative con‐clusions and improvement the sufficient condition of origin as globally asymptotical stability equilibrium points .The simula‐tion example demonstrates the method is effective .关键词
M矩阵/时滞细胞神经网络(DCNNs)/稳定性Key words
M-matrix/delayed cellular neural networks(DCNNs)/stability分类
信息技术与安全科学引用本文复制引用
江梅,何汉林,严路..基于 M 矩阵理论的时滞细胞神经网络稳定性分析*[J].计算机与数字工程,2015,(3):349-352,4.基金项目
国家自然科学基金项目（编号61374003）资助。 （）
