Event-triggered finite-time synchronization for uncertain neural networks with quantizations

This paper concentrates on the problem of event-triggered finite-time quantized synchronization for uncertain neural networks. We initially establish a synchronization model for neural networks with input quantization and event-triggered mechanism. Then, the finite-time synchronization criterion for the neural networks is deduced by Lyapunov functional and free-weighting matrix schemes. Utilizing variable separation approach, finite-time synchronization controller and event-triggered matrix parameter are co-designed in terms of the feasibility of linear matrix inequalities. Additionally, the effectiveness of the proposed methods is evaluated by a simulation example.