Some new results on periodic solution of Cohen–Grossberg neural network with impulses

In this paper, the periodic solution of Cohen–Grossberg neural network with impulses is studied. Some new sufficient criteria are established to test the existence, exponential stability and stabilization of periodic solution. The results obtained depend mainly on the mean value of the integral of continuous periodic coefficients and the sum of impulsive jumps, and improve some previous related works. Three examples with numerical simulations are given to demonstrate the efficiency of proposed methods.