Existence and Exponential Stability of Almost Periodic Solutions for Impulsive BAM Neural Networks on Almost Periodic Time Scales

Abstract

This paper considers almost periodic dynamics for impulsive BAM neural networks with variable delays and continuously distributed delays on almost periodic time scales. By applying contraction principle and Gromwell-Bellman’s inequality, some new results on the existence and exponential stability of almost periodic solutions are established. In addition, an example is provided to illustrate the feasibility and effectiveness of the obtained results.