Synchronization controller design for uncertain chaotic systems using disturbance observer

In this paper, a H_infin synchronization controller is studied based on neural network disturbance observer for two uncertain chaotic systems. The disturbance observer is designed using the radial basis function (RBF) neural networks, and the parameterpsilas update law is presented for monitoring the compound disturbance well. Based on the output of the disturbance observer, the H_infin synchronization controller is proposed which can make the synchronization error convergent to zero under appropriate parameter adaptive laws. Finally, a simulation example is given to validate the availability of the proposed synchronization control method.