New Results on Periodicity of Non-autonomous Inertial Neural Networks Involving Non-reduced Order Method

Abstract

This article mainly explores a class of non-autonomous inertial neural networks with time-varying delays and coefficients. By combining Lyapunov function method with differential inequality approach, some novel assertions are gained to guarantee the existence and exponential stability of periodic solutions for the addressed model. An example and its numerical simulations are given to support the proposed approach. The obtained results play an important role in designing the inertial neural networks and complement the earlier publications.