DocumentCode
312581
Title
A sufficient condition for global stability of cellular neural networks with delay
Author
Arik, Sabri ; Tavsanoglu, Vedat
Author_Institution
Centre for Res. in Inf. Eng., South Bank Polytech., London, UK
Volume
1
fYear
1997
fDate
9-12 Jun 1997
Firstpage
549
Abstract
In this paper, we give a new sufficient condition for the global asymptotic stability of the equilibrium point for cellular neural networks with delay (DCNNs). This condition imposes constraints on the feedback matrices independently of the delay parameter
Keywords
asymptotic stability; cellular neural nets; delays; matrix algebra; CNN; asymptotic stability; cellular neural networks; delay parameter; equilibrium point; feedback matrices; global stability; Asymptotic stability; Cellular neural networks; Delay; Electronic mail; Equations; Neurofeedback; Reactive power; Stability analysis; State feedback; Sufficient conditions;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN
0-7803-3583-X
Type
conf
DOI
10.1109/ISCAS.1997.608806
Filename
608806
Link To Document