Improved Results on Passivity Analysis of Uncertain Neural Networks with Time-Varying Discrete and Distributed Delays

被引：0
|
作者：
Yonggang Chen
Wenlin Li
Weiping Bi
机构：
[1] Henan Institute of Science and Technology,Department of Mathematics
[2] Henan Normal University,College of Mathematics and Information Science
来源：
Neural Processing Letters | 2009年 / 30卷
关键词：
Passivity analysis; Uncertain neural networks; Time-varying discrete and distributed delays; Linear matrix inequalities (LMIs);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the passivity analysis problem is investigated for uncertain neural networks with time-varying discrete and distributed delays. Based on direct delay decomposition idea and free-weighting matrix approach, several new delay-dependent passive criterions are derived in terms of linear matrix inequalities (LMIs), which can be easily checked by the Matlab LMI toolbox. Numerical examples show that the obtained results improve some existing ones.
引用
收藏
页码：155 / 169
页数：14
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