WASET
	%0 Journal Article
	%A J.H. Park and  S. Lakshmanan and  H.Y. Jung and  S.M. Lee
	%D 2013
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 76, 2013
	%T Delay-Distribution-Dependent Stability Criteria for BAM Neural Networks with Time-Varying Delays
	%U https://publications.waset.org/pdf/3117
	%V 76
	%X This paper is concerned with the delay-distributiondependent
stability criteria for bidirectional associative memory
(BAM) neural networks with time-varying delays. Based on the
Lyapunov-Krasovskii functional and stochastic analysis approach,
a delay-probability-distribution-dependent sufficient condition is derived
to achieve the globally asymptotically mean square stable of
the considered BAM neural networks. The criteria are formulated in
terms of a set of linear matrix inequalities (LMIs), which can be
checked efficiently by use of some standard numerical packages. Finally,
a numerical example and its simulation is given to demonstrate
the usefulness and effectiveness of the proposed results.
	%P 615 - 618