Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays

Author(s):  
Wei Zhu ◽  
Daoyi Xu
2007 ◽  
Vol 2007 ◽  
pp. 1-9 ◽  
Author(s):  
Qiang Zhang ◽  
Xiaopeng Wei ◽  
Jin Xu

Global exponential stability of a class of discrete-time Hopfield neural networks with variable delays is considered. By making use of a difference inequality, a new global exponential stability result is provided. The result only requires the delay to be bounded. For this reason, the result is milder than those presented in the earlier references. Furthermore, two examples are given to show the efficiency of our result.


2009 ◽  
Vol 57 (11-12) ◽  
pp. 1938-1942 ◽  
Author(s):  
Xiaopeng Wei ◽  
Dongsheng Zhou ◽  
Qiang Zhang

2015 ◽  
Vol 164 ◽  
pp. 252-261 ◽  
Author(s):  
Wu Yang ◽  
Yan-Wu Wang ◽  
Zhi-Gang Zeng ◽  
Ding-Fu Zheng

2020 ◽  
Vol 122 ◽  
pp. 54-67 ◽  
Author(s):  
Fidelis Zanetti de Castro ◽  
Marcos Eduardo Valle

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