Existence and global exponential stability of periodic solution for impulsive Cohen-Grossberg neural networks with bounded and unbounded delays

In this paper, we study the existence and global exponential stability of periodic solution for Cohen-Grossberg neural networks with impulsive effects which is mixed delays. By constructing suitable Lyapunov functional and a new differential inequality, some sufficient conditions are established to guarantee the impulsive neural networks has globally exponential stable periodic solution. and the estimated exponential convergence rate is also obtained. Finally, an example with numerical simulations is given demonstrate the effectiveness of the obtained results.