%0 Journal Article
	%A Biao Qin and  Jin Huang and  Jiaojiao Ren and  Wei Kang
	%D 2014
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 92, 2014
	%T Passivity Analysis of Stochastic Neural Networks With Multiple Time Delays
	%U https://publications.waset.org/pdf/9999569
	%V 92
	%X This paper deals with the problem of passivity
analysis for stochastic neural networks with leakage, discrete and
distributed delays. By using delay partitioning technique, free
weighting matrix method and stochastic analysis technique, several
sufficient conditions for the passivity of the addressed neural
networks are established in terms of linear matrix inequalities
(LMIs), in which both the time-delay and its time derivative can be
fully considered. A numerical example is given to show the
usefulness and effectiveness of the obtained results.

	%P 1153 - 1159