New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays

Abstract

In this paper, we shall explain a new result concerning piecewise weighted pseudo almost-periodic solution of impulsive recurrent neural networks with time-varying coefficients and mixed delays. Precisely, some sufficient conditions are given to prove the existence and the exponential stability of piecewise weighted pseudo almost-periodic solution by employing fixed point theorem, generalized Gronwall–Bellman inequality and differential inequality techniques. Finally, an illustrative example is given to demonstrate the effectiveness of our results.