Synchronization of neutral stochastic neural networks with mixed time delays

Author

Tianbo, Wang ; Wuneng, Zhou ; Dejun, Zhao ; Shouwei, Zhao

fYear

2012

fDate

25-27 July 2012

Firstpage

3366

Lastpage

3370

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390504