Input-to-state stability (ISS) analysis for dynamic neural networks

被引：0

作者：

Sanchez, EN

Perez, JP

机构：

来源：

1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4 | 1997年

关键词：

neural network dynamics; intelligent control; stability; ISS analysis; Lyapunov functions;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents the input-to-state (ISS) analysis for dynamic neural networks. We determine, using a Lyapunov function, conditions to guarantee ISS; they also guarantee globally asymptotically stability (GAS).

引用

页码：1139 / 1143

页数：5