期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 19, 期 4, 页码 726-730出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2007.914162
关键词
asymptotic stability; delay-dependent; linear matrix inequality (LMI); neural networks (NNs); robust stability
类别
资金
- National Science Foundation of China [60474050, 60774047]
- Jiangsu Science Foundation of China [BK2006564]
In this brief paper, an augmented Lyapunov functional, which takes an integral term of state vector into account, is introduced. Owing to the functional, an improved delay-dependent asymptotic stability criterion for delayed neural networks (NNs) is derived in term of linear matrix inequalities (LMIs). It is shown that the obtained criterion can provide less conservative result than some existing ones. When linear fractional uncertainties appear in NNs, a new robust delay-dependent stability condition is also given. Numerical examples are given to demonstrate the applicability or the proposed approach.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据