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
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;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.608806
