Title :
Synchronization of neutral stochastic neural networks with mixed time delays
Author :
Tianbo, Wang ; Wuneng, Zhou ; Dejun, Zhao ; Shouwei, Zhao
Abstract :
In the paper, the synchronization problem for a kind of neutral stochastic neural networks with discrete and distributed time delay (mixed time delays) is investigated by using the linear matrix inequality and description system approach. Based on the Lyapunov stability theory, several sufficient conditions ensuring the synchronization of drive-response neural netoworks are derived. Moreover, these conditions are with the form of linear matrix inequalities and can be easily solved by the LMI´s toolbox in Matlab. Finally, an illustrate example is provided to show the effectiveness of our method.
Keywords :
Lyapunov methods; delays; discrete systems; linear matrix inequalities; neural nets; stability; synchronisation; LMI toolbox; Lyapunov stability theory; Matlab; description system; discrete time delay; distributed time delay; drive-response neural netoworks; linear matrix inequalities; mixed time delays; neutral stochastic neural networks; sufficient conditions; synchronization problem; Delay; Delay effects; Educational institutions; Linear matrix inequalities; Neural networks; Symmetric matrices; Synchronization; Description system; Neutral neural network; Synchronization; Time delay;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
