Title
Robust Stability Analysis For Uncertain Delay Neural Networks
Abstract
A delay dependent stability criterion for uncertain delay neural network is developed. A sufficient condition for asymptotically robust stale of neural networks is proposed. The criterion includes the information on the size of time-delay. In this criterion, a maximum admission delay value is estimated. The checking for robust stability of uncertain delay neural networks by our result can be carried out rather simply. Our result is less conservative than previously known criterion.
Year
DOI
Venue
2001
null
2001 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5: E-SYSTEMS AND E-MAN FOR CYBERNETICS IN CYBERSPACE
Keywords
Field
DocType
delay dependent criterion, uncertain delay neural network, robust stability, Lyapunov function
Stability criterion,Mathematical optimization,Circle criterion,Control theory,Computer science,Exponential stability,Uncertain systems,Artificial neural network
Conference
Volume
Issue
ISSN
3
null
1062-922X
Citations 
PageRank 
References 
0
0.34
2
Authors
5
Name
Order
Citations
PageRank
Li Xie100.34
Gang Xiong229992.20
Xing He300.34
Timo R. Nyberg41711.96
Xiaoming Xu500.34