Some stability properties of dynamic neural networks

被引：72
|
作者：
Yu, W [1 ]
Li, XO
机构：
[1] IPN, CINVESTAV, Dept Control Automat, Mexico City 07360, DF, Mexico
[2] IPN, CINVESTAV, Dept Ingn Elect, Mexico City 07360, DF, Mexico
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | 2001年 / 48卷 / 02期
关键词：
dynamic neural networks; passivity; stability;
D O I：
10.1109/81.904893
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, the passivity-based approach is used to derive a tuning algorithm for a class of dynamic neural networks. Several stability properties, such as passivity, asymptotic stability, input-to-state stability and bounded input-bounded output stability, are guaranteed in certain senses.
引用
收藏
页码：256 / 259
页数：4
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