New results for global robust asymptotic stability of BAM neural networks with time-varying delays

In this paper, the global robust asymptotic stability for a class of delayed bidirectional associative memory (BAM) neural networks with interval uncertainty is studied. Some less conservative conditions are presented for the BAM neural networks with multiple time-varing delays based on the Lyapunov functional approach. We also give one example to demonstrate the applicability and effectiveness of our results, and compare the results with the previous robust stability results derived in the literature.