Global asymptotic stability of stochastic BAM neural networks with distributed delays and reactiondiffusion terms

摘要

This paper is concerned with global asymptotic stability of a class of reactiondiffusion stochastic Bi-directional Associative Memory (BAM) neural networks with discrete and distributed delays. Based on suitable assumptions, we apply the linear matrix inequality (LMI) method to propose some new sufficient stability conditions for reactiondiffusion stochastic BAM neural networks with discrete and distributed delays. The obtained results are easy to check and improve upon the existing stability results. An example is also given to demonstrate the effectiveness of the obtained results.