Measure-pseudo almost periodic dynamical behaviors for BAM neural networks with D operator and hybrid time-varying delays

摘要

In this work, we are interested in a class of Bi-directional associative memory neural networks (BAMNNs) with hybrid time-varying delays and D operator. We establish some sufficient conditions to guarantee the existence and global exponential stability of measure-pseudo almost periodic solutions of the considered BAMNNs, using contraction mapping principle, exponential dichotomy theory, differential inequality techniques, and the properties of the measure-pseudo almost periodic functions. A numerical example along with a graphical illustration are presented to support the effectiveness and feasibility of the obtained results. The results in this paper are original and complement the previous outcomes.(c) 2021 Elsevier B.V. All rights reserved.