More Practical Coupled Neural Network Systems Under Event-Triggered Impulsive Control: A Novel Study Approach

In this paper, we contribute to the study of coupled neural network systems controlled by event-triggered impulses. Based on the characteristics and theorems of coupled neural networks, a novel set of coupled system models and controllers are established, which differs from previous studies in that we pay attention to the drive transmission time-delay and thus focus more on the time when the impulsive control actually occurs. In addition, we propose a convergent limit averaging study approach to investigate the system and obtain certain sufficient conditions for the stabilization and synchronization of the coupled network systems under the action of stable and unstable impulses by employing Halanay differential inequalities under the designed event-triggered feedback impulse controller. Finally, several numerical simulation examples are given to show the realism of the results we obtained.