Impulsive generalized high-order recurrent neural networks with mixed delays: Stability and periodicity

In this paper, by employing fixed point theorem, generalized Gronwall-Bellman inequality and differential inequality techniques, some sufficient conditions are given for the existence and the exponential stability of the unique piecewise weighted pseudo almost-periodic solution of impulsive high-order recurrent neural networks with time-varying coefficients and mixed delays. An illustrative example is also given in the end of this paper to show the effectiveness of our results. (C) 2017 Published by Elsevier B.V.