Input-to-state stability (ISS) analysis for dynamic neural networks
被引:0
作者:
Sanchez, EN
论文数: 0引用数: 0
h-index: 0
Sanchez, EN
Perez, JP
论文数: 0引用数: 0
h-index: 0
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).