TY - JOUR
T1 - Novel stability criteria for delayed cellular neural networks.
AU - Cao, Jinde
AU - Wang, Jun
AU - Liao, Xiaofeng
PY - 2003/10
Y1 - 2003/10
N2 - In this paper, a new sufficient condition is given for the global asymptotic stability and global exponential output stability of a unique equilibrium points of delayed cellular neural networks (DCNNs) by using Lyapunov method. This condition imposes constraints on the feedback matrices and delayed feedback matrices of DCNNs and is independent of the delay. The obtained results extend and improve upon those in the earlier literature, and this condition is also less restrictive than those given in the earlier references. Two examples compared with the previous results in the literatures are presented and a simulation result is also given.
AB - In this paper, a new sufficient condition is given for the global asymptotic stability and global exponential output stability of a unique equilibrium points of delayed cellular neural networks (DCNNs) by using Lyapunov method. This condition imposes constraints on the feedback matrices and delayed feedback matrices of DCNNs and is independent of the delay. The obtained results extend and improve upon those in the earlier literature, and this condition is also less restrictive than those given in the earlier references. Two examples compared with the previous results in the literatures are presented and a simulation result is also given.
KW - Delayed cellular neural networks
KW - global asymptotic stability
KW - global exponential output stability
KW - equilibria
UR - http://www.scopus.com/inward/record.url?scp=1542750058&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-1542750058&origin=recordpage
U2 - 10.1142/S0129065703001649
DO - 10.1142/S0129065703001649
M3 - RGC 21 - Publication in refereed journal
C2 - 14652876
SN - 0129-0657
VL - 13
SP - 367
EP - 375
JO - International Journal of Neural Systems
JF - International Journal of Neural Systems
IS - 5
ER -