A New Method for Complete Stability Analysis of Cellular Neural Networks With Time Delay

2010 ◽  
Vol 21 (7) ◽  
pp. 1126-1139 ◽  
Author(s):  
Wu-Hua Chen ◽  
Wei Xing Zheng
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Cellular Neural Networks ◽  
New Method

Dissipativity and stability analysis of fractional-order complex-valued neural networks with time delay

2017 ◽  
Vol 86 ◽  
pp. 42-53 ◽  
Author(s):  
G. Velmurugan ◽  
R. Rakkiyappan ◽  
V. Vembarasan ◽  
Jinde Cao ◽  
Ahmed Alsaedi
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Time Delay ◽  
Fractional Order ◽  
Order Complex ◽  
Complex Valued

Stability analysis of delayed cellular neural networks

1998 ◽  
Vol 11 (9) ◽  
pp. 1601-1605 ◽  
Author(s):  
Jinde Cao ◽  
Dongming Zhou
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Cellular Neural Networks

EXPONENTIAL STABILITY ANALYSIS OF NEURAL NETWORKS WITH VARIABLE DELAYS

2010 ◽  
Vol 20 (05) ◽  
pp. 1541-1549 ◽  
Author(s):  
MAN-CHUN TAN ◽  
YAN ZHANG ◽  
WEN-LI SU ◽  
YU-NONG ZHANG
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Exponential Stability ◽  
Equilibrium Point ◽  
Global Exponential Stability ◽  
Sufficient Conditions ◽  
Cellular Neural Networks ◽  
Variable Delays

Some sufficient conditions to ensure the existence, uniqueness and global exponential stability of the equilibrium point of cellular neural networks with variable delays are derived. These results extend and improve the existing ones in the literature. Two illustrative examples are given to demonstrate the effectiveness of our results.

Sign in / Sign up

Export Citation Format

Share Document