Pinning event-triggered sampled-data synchronization of coupled reaction-diffusion neural networks

In this paper, the synchronization problem of coupled reaction-diffusion neural networks (CRDNNs) is considered by using pinning event -triggered sampled -data (PETSD) control method under spatially point measurements. To save the limited transmission channel, a PETSD control mechanism by controlling a small fraction of the nodes is proposed to decrease the update frequency of controller and the unnecessary SD. Then, based on the Lyapunov-Krasovskii functional (LKF) and inequality techniques, sufficient conditions for exponential stability of the synchronization error system presented by linear matrix inequalities (LMIs) can be derived through the designed PETSD controller. Finally, simulation results of one numerical example are presented to demonstrate the effectiveness of the proposed design approach.