计算机工程与应用2012，Vol.48Issue(6)：30-32,3.DOI:10.3778/j.issn.1002-8331.2012.06.009
一类中立型时滞神经网络的全局渐近稳定性
Global asymptotic stability of a class of neutral neural networks with time delays
摘要
Abstract
This paper discusses the stability problem of a class of neutral neural networks with time delays. By constructing Lyapu-nov-Krasovskii-type functional, and using Schur complement matrix properties, it studies the global asymptotic stability of these kinds of delayed neutral neural networks and obtains sufficient conditions of the asymptotic stability based on matrix eigenvalues. Some sufficient conditions, expressed in the form of matrix eigenvalues, of global asymptotic stability for Hopfield neural networks with time delays are obtained as well. The numerical simulations test the validity of the results.关键词
时滞神经网络/中立型/Schur补/全局渐近稳定性Key words
delayed neural networks/neutral/Schur complement/global asymptotic stability分类
信息技术与安全科学引用本文复制引用
罗日才,许弘雷..一类中立型时滞神经网络的全局渐近稳定性[J].计算机工程与应用,2012,48(6):30-32,3.基金项目
国家自然科学基金(No.60704003) （No.60704003）
广西自然科学基金(No.200991265). （No.200991265）
