Global Exponential Stability of Delayed Neural Networks Based on a New Integral Inequality

2019 ◽  
Vol 49 (11) ◽  
pp. 2318-2325 ◽  
Author(s):  
Yajuan Liu ◽  
Ju H. Park ◽  
Fang Fang
Keyword(s):  
Neural Networks ◽  
Exponential Stability ◽  
Integral Inequality ◽  
Global Exponential Stability ◽  
Delayed Neural Networks

GLOBAL EXPONENTIAL STABILITY OF FUZZY INTERVAL DELAYED NEURAL NETWORKS WITH IMPULSES ON TIME SCALES

2009 ◽  
Vol 19 (06) ◽  
pp. 449-456 ◽  
Author(s):  
YONGKUN LI ◽  
TIANWEI ZHANG
Keyword(s):  
Neural Networks ◽  
Exponential Stability ◽  
Equilibrium Point ◽  
Time Scales ◽  
Global Exponential Stability ◽  
Lyapunov Method ◽  
Delayed Neural Networks ◽  
The Neural Networks ◽  
Uniqueness Of Equilibrium ◽  
Fuzzy Interval

In this paper, we investigate the existence and uniqueness of equilibrium point for fuzzy interval delayed neural networks with impulses on time scales. And we give the criteria of the global exponential stability of the unique equilibrium point for the neural networks under consideration using Lyapunov method. Finally, we present an example to illustrate that our results are effective.

Sign in / Sign up

Export Citation Format

Share Document