Analysis and aperiodically intermittent control for synchronization of multi-weighted coupled Cohen-Grossberg neural networks without and with coupling delays

The present work is devoted to studying the synchronization problem of multi-weighted coupled Cohen-Grossberg neural networks (CCGNNs) and multi-weighted delayed coupled Cohen-Grossberg neural networks (DCCGNNs). First, we investigated the synchronization and aperiodically intermittent synchronization of multi-weighted CCGNNs and obtained several adequate synchronization conditions for this type of network using the Lyapunov functional and useful mathematical inequality techniques. Subsequently, we derive robust synchronization and robust aperiodically intermittent synchronization criteria by incorporating uncertain parameters into the considered CCGNNs with multiple weights. Moreover, the synchronization and robust synchronization of multi-weighted DCCGNNs with and without aperiodically intermittent controllers were considered, and the corresponding criteria were obtained. Finally, two numerical examples were used to confirm the accuracy of the established conditions.