Global Asymptotic Period.icity of Impulsive Cohen-Grossberg Neural Networks with Multi-Proportional Delays
Liqun Zhou, Zhi-Xue Zhao · 2020
The global asymptotic periodicity (GAP) of impulsive Cohen-Grossberg neural networks (ICGNNs) with multi-proportional delays are dealt with in this paper. Delay-dependent GAP criteria are made by introducing tunable parameters, skillfully designing Lyapunov functionals and using inequality techniques, which are verified by a numerical example with two cases and simulations.