DocumentCode
1736310
Title
On the global robust stability of delayed neural networks
Author
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution
Dept. of Electron., Istanbul Univ., Turkey
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Abstract
This paper presents a sufficient condition for the existence, uniqueness and global robust stability of the equilibrium point for Hopfield-type delayed neural networks. The result imposes constraint conditions on the boundary values of the network parameters independently of the delay parameter.
Keywords
Hopfield neural nets; delay circuits; stability; Hopfield-type neural networks; boundary values; constraint conditions; delay parameter; delayed neural networks; equilibrium point; global robust stability; network parameters; uniqueness; Artificial intelligence; Delay effects; Equations; Hopfield neural networks; Neural networks; Neurons; Robust stability; Stability analysis; Sufficient conditions; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN
0-7803-7448-7
Type
conf
DOI
10.1109/ISCAS.2002.1010168
Filename
1010168
Link To Document