Exponential Synchronization of Switched Cellular Neural Networks via AED-ADT Switching

This paper analyses the synchronization problem of switched cellular neural networks. The admissible edge-dependent average dwell time method is used to design switching signals. By virtue of the multiple Lyapunov function technology and Newton-Leibniz formula, a sufficient condition is established to guarantee the exponential synchronization of switched cellular neural networks. Finally, a numerical example is employed to verify the effectiveness of proposed methods.