# American Institute of Mathematical Sciences

May  2014, 19(3): 761-773. doi: 10.3934/dcdsb.2014.19.761

## Average criteria for periodic neural networks with delay

 1 Dipartimento di Matematica, Universitá degli studi di Bari, 70125 Bari, Italy

Received  June 2013 Revised  October 2013 Published  February 2014

By using Lyapunov functions and some recent estimates of Halanay type, new criteria are introduced for the global exponential stability of a class of cellular neural networks, with delay and periodic coefficients and inputs. The novelty of those criteria lies in the fact that they are very efficient in presence of oscillating coefficients, because they are given in average form.
Citation: Benedetta Lisena. Average criteria for periodic neural networks with delay. Discrete & Continuous Dynamical Systems - B, 2014, 19 (3) : 761-773. doi: 10.3934/dcdsb.2014.19.761
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