DocumentCode
423537
Title
A new condition for the global robust exponential periodicity of interval neural networks with delays
Author
Sun, Changyin ; Liu, Derong ; Feng, Chun-Bo
Author_Institution
Coll. of Electr. Eng., Hohai Univ., Nanjing, China
Volume
1
fYear
2004
fDate
25-29 July 2004
Lastpage
206
Abstract
We study the robust exponential periodicity of a class of interval-delayed neural networks. A new condition ensuring the existence, uniqueness and global robust exponential stability of the periodic solution of interval-delayed neural networks with periodic input is established.
Keywords
asymptotic stability; delays; neural nets; global robust exponential periodicity; interval-delayed neural networks; periodic solution; robust exponential stability; Automation; Computer science; Convergence; Educational institutions; Electronic mail; Hopfield neural networks; Neural networks; Robust stability; Robustness; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-8359-1
Type
conf
DOI
10.1109/IJCNN.2004.1379898
Filename
1379898
Link To Document