Exponential Synchronization of Switched Inertial Reaction-Diffusion Neural Networks with Time Varying Delays via Intermittent Control

This paper considered the problem for global exponential synchronization of switched inertial reaction-diffusion neural networks with time varying delays via intermittent control. Through the order-reduce method, the switched inertial reaction-diffusion neural networks are changed into first-order. Then by using Wirtinger inequality and constructing new Lyapunov-Krasovskii functional, a sufficient criterion is obtained. And, intermittent controller and exponential synchronization analysis are designed based on linear matrix inequality toolbox. Finally, the numerical simulations are given to show the effectiveness of the theorem.