Global Asymptotic Stability of Periodic Solutions for Neutral-Type BAM Neural Networks with Delays

摘要

In this paper, we study the neutral-type BAM neural networks with time-varying delays. By applying the continuation theorem and some analysis techniques, some sufficient conditions to guarantee the neutral-type BAM neural networks have at least one periodic solution are proposed. Moreover, we also consider the asymptotic behaviours of periodic solutions by Lyapunov function and inequality \(2ab\le a^{2}+b^{2}\). At last, an example is given to illustrate the effectiveness and feasibility of the obtain results.