Stability Analysis of Quaternion-Valued Neural Network with Non-differentiable Time-Varying Delays and Constant Delays

2021 ◽  
pp. 248-259
Author(s):  
Hongying Qin ◽  
Zhenhao Chen ◽  
Xiaomei Wang ◽  
Guo Huang
Keyword(s):  
Neural Network ◽  
Stability Analysis ◽  
Time Varying

STABILITY ANALYSIS OF IMPULSIVE COHEN-GROSSBERG NEURAL NETWORK WITH UNBOUNDED DISCRETE TIME-VARYING DELAYS

2007 ◽  
Vol 17 (05) ◽  
pp. 407-417 ◽  
Author(s):  
QIANKUN SONG ◽  
JINDE CAO
Keyword(s):  
Neural Network ◽  
Stability Analysis ◽  
Exponential Stability ◽  
Discrete Time ◽  
Global Exponential Stability ◽  
Sufficient Conditions ◽  
Time Varying ◽  
Analysis Method ◽  
Inequality Technique ◽  
Stability Results

In this paper, the impulsive Cohen-Grossberg neural network with unbounded discrete time-varying delays is considered. By using the analysis method and inequality technique, several sufficient conditions are obtained to ensure the global exponential stability of the addressed neural network. These results generalize the existing relevant stability results. Two examples with simulations are given to show the effectiveness of the obtained results.

Sign in / Sign up

Export Citation Format

Share Document