摘要：This paper considers the delay-dependent exponential stability for discrete-time BAM neural networks
with time-varying delays. By constructing the new Lyapunov functional, the improved delay-dependent
exponential stability criterion is derived in terms of linear matrix inequality (LMI). Moreover, in order to
reduce the conservativeness, some slack matrices are introduced in this paper. Two numerical examples
are presented to show the effectiveness and less conservativeness of the proposed method.
