J.H. Park and S. Lakshmanan and H.Y. Jung and S.M. Lee
DelayDistributionDependent Stability Criteria for BAM Neural Networks with TimeVarying Delays
615 - 618
2013
7
4
International Journal of Mathematical and Computational Sciences
https://publications.waset.org/pdf/3117
https://publications.waset.org/vol/76
World Academy of Science, Engineering and Technology
This paper is concerned with the delaydistributiondependent
stability criteria for bidirectional associative memory
(BAM) neural networks with timevarying delays. Based on the
LyapunovKrasovskii functional and stochastic analysis approach,
a delayprobabilitydistributiondependent 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.
Open Science Index 76, 2013