Stabilization of Discrete-Time Delayed Chaotic Neural Networks Via Hybrid Impulsive and Switching Control

The problem of the stabilization of discrete-time delayed chaotic neural networks via hybrid impulsive and switching control is investigated.By using the switched Lyapunov function method and the S-procedure technique,exponential stability criteria for the controlled neural networks are established.The obtained result characterizes the effects of impulsive control and switching control on the stability of the closed-loop system.A chaotic discrete-time delayed Hopfield neural network is illustrated to show the effectiveness of the proposed stabilization method.