Robust stability analysis of generalized neural networks with multiple discrete delays and multiple distributed delays

2009 ◽  
Vol 72 (7-9) ◽  
pp. 1789-1796 ◽  
Author(s):  
Xiaoyang Liu ◽  
Nan Jiang
2014 ◽  
Vol 2014 ◽  
pp. 1-12
Author(s):  
Wei Feng ◽  
Simon X. Yang ◽  
Haixia Wu

The global asymptotic robust stability of equilibrium is considered for neutral-type hybrid bidirectional associative memory neural networks with time-varying delays and parameters uncertainties. The results we obtained in this paper are delay-derivative-dependent and establish various relationships between the network parameters only. Therefore, the results of this paper are applicable to a larger class of neural networks and can be easily verified when compared with the previously reported literature results. Two numerical examples are illustrated to verify our results.


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