Global asymptotic stability of anti-periodic solution for impulsive Cohen-Grossberg neural networks with multiple delays

The global asymptotic stability of anti-periodic solution for Cohen-Grossberg neural networks (CGNNs) is investigated. The CGNNs we consider have impulsive effects and multiple delays. By constructing a suitable Lyapunov function, we prove the existence of the globally asymptotically stable anti-periodic solution for impulsive CGNNs. Several numerical examples are presented to illustrate the validity and improvement of our results.