DocumentCode :
2656371
Title :
Global exponential stability of Cohen-Grossberg neural networks with multiple time-varying delays
Author :
Deng, Jin ; Xu, Daoyi ; Yang, Zhichun
Author_Institution :
Coll. of Math., Sichuan Univ., China
fYear :
2004
fDate :
13-15 Dec. 2004
Firstpage :
230
Lastpage :
233
Abstract :
Exponential stability of the Cohen-Grossberg neural networks with multiple time-varying delays is analyzed. Sufficient conditions for the existence and exponential stability of an equilibrium of the networks are obtained. These conditions are less restrictive than previously known criteria and can be easily verified.
Keywords :
asymptotic stability; delays; neural nets; Cohen-Grossberg neural networks; exponential stability; time-varying delays; Delay; Educational institutions; Hopfield neural networks; Linear matrix inequalities; Neural networks; Stability analysis; Sufficient conditions; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Circuits and Systems, 2004. ICECS 2004. Proceedings of the 2004 11th IEEE International Conference on
Print_ISBN :
0-7803-8715-5
Type :
conf
DOI :
10.1109/ICECS.2004.1399657
Filename :
1399657
Link To Document :
بازگشت