Title :
On the global robust stability of delayed neural networks
Author :
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution :
Dept. of Electron., Istanbul Univ., Turkey
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;
Conference_Titel :
Circuits and Systems, 2002. ISCAS 2002. IEEE International Symposium on
Print_ISBN :
0-7803-7448-7
DOI :
10.1109/ISCAS.2002.1010168
