Synchronization Criteria for Delayed Fractional-Order Neural Networks via Linear Feedback Control

In this paper, the synchronization problem is addressed for delayed fractional-order neural networks (FNNs). First, a simple linear feedback controller is constructed, which is easy to be implemented in practical application. Then, by using appropriate fractional-order Lyapunov functions, fractional Halanay inequality and inequality techniques, two novel synchronization criteria are established, respectively. Numerical examples are finally offered to display the effectiveness of the developed methods.