Synchronization of neutral stochastic neural networks with mixed time delays

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 co...

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Bibliographic Details
Published inProceedings of the 31st Chinese Control Conference pp. 3366 - 3370
Main Authors Wang Tianbo, Zhou Wuneng, Zhao Dejun, Zhao Shouwei
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2012
Subjects
Delay
Delay effects
Description system
Educational institutions
Linear matrix inequalities
Neural networks
Neutral neural network
Symmetric matrices
Synchronization
Time delay
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Summary: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.
ISBN:1467325813
9781467325813
ISSN:1934-1768
2161-2927