Global stability analysis of impulsive BAM type Cohen–Grossberg neural networks with delays

This paper is concerned with a class of the impulsive bidirectional associative memories neural networks that possesses a Cohen–Grossberg dynamics incorporates time delays and variable coefficients. The existence of equilibrium point, globally exponential stability and globally exponentially robust stability are investigated by Lyapunov function and Halanay inequality. We can see that impulses do contribution to the exponential stability and robust stability. An illustrative example is given to demonstrate the effectiveness of the obtained results.