Existence and global exponential stability of periodic solutions of cellular neural networks with time-varying delays and impulses

By using the continuation theorem of Mawhin's coincidence degree theory and constructing Lyapunov functions, sufficient conditions are obtained for the existence and globally exponential stability of periodic solution of cellular neural networks with variable delays and impulses.