Global Robust Stability Criteria for Interval Delayed Full-Range Cellular Neural Networks

2011 ◽  
Vol 22 (4) ◽  
pp. 666-671 ◽  
Author(s):  
M Di Marco ◽  
M Grazzini ◽  
L Pancioni
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Full Range ◽  
Cellular Neural Networks ◽  
Stability Criteria ◽  
Global Robust Stability

GLOBAL ROBUST STABILITY FOR SHUNTING INHIBITORY CNNs WITH DELAYS

2004 ◽  
Vol 14 (04) ◽  
pp. 229-235 ◽  
Author(s):  
LINGNA WANG ◽  
YIPING LIN
Keyword(s):  
Neural Networks ◽  
Robust Stability ◽  
Cellular Neural Networks ◽  
Sufficient Condition ◽  
Global Robust Stability

In this paper, the problem of global robust stability for shunting inhibitory cellular neural networks (SICNNs) is studied. A sufficient condition guaranteeing the network's global robust stability is established. The result can easily be used to verify globally robust stable networks. An example is given to illustrate that the conditions of our results are feasible.

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