Stability analysis of delayed Cohen–Grossberg BAM neural networks with impulses via nonsmooth analysis

In this paper, we investigate the existence and uniqueness of equilibrium point for delayed Cohen–Grossberg bidirectional associative memory (BAM) neural networks with impulses, based on nonsmooth analysis method. And we give the criteria of global exponential stability of the unique equilibrium point for the delayed BAM neural networks with impulses using Lyapunov method. The new sufficient condition generalizes and improves the previously known results. Finally, we present examples to illustrate that our results are effective.