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 :
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