云南民族大学学报（自然科学版）2017，Vol.26Issue(3)：216-222,7.DOI:12.3969/j.issn.1672-8513.2017.03.010
具有加性时变时滞神经网络的稳定性分析
Stability analysis of neural networks with additive time-varying delay components
摘要
Abstract
In this paper,the stability of neural networks with additive time-varying delay components is discussed and some new stability criteria are obtained.On the basis of constructing a new Lyapunov functional with three integral terms,using new inequalities,delay-partitioning technique,combined with other analytical techniques,the stability conditions of the linear matrix inequalities with a lower conservatism are obtained.Finally,two numerical examples are given to verify the effectiveness of the proposed method and the superiority of the results.关键词
加性时变时滞/神经网络/全局渐近稳定性/Lyapunov泛函Key words
additive time-varying delay/neural networks/globally asymptotically stable/Lyapunov-Krasovski functional分类
数理科学引用本文复制引用
李蓉,张海洋,王延萌,吴涛,熊良林..具有加性时变时滞神经网络的稳定性分析[J].云南民族大学学报（自然科学版）,2017,26(3):216-222,7.基金项目
国家自然科学基金(11601474,11461082) （11601474,11461082）
云南民族大学研究生创新基金(2016YJCXS08). （2016YJCXS08）
