On periodic cellular neural networks with delay

By using Lyapunov functionals and some recent results replacing Halanay-type inequalities, new criteria are introduced for the global exponential stability of a class of cellular neural networks, with delay and periodic coefficients and inputs. In this way we obtain sufficient conditions, given in average form, for the networks to converge exponentially toward the unique periodic solution