Abstract
A sliding mode adaptive synchronization controller is presented with aneural network of radial basis function (RBF) for two chaotic systems.The uncertainty of the synchronization error system is approximated bythe RBF neural network. The synchronization controller is given basedon the output of the RBF neural network. The proposed controller canmake the synchronization error convergent to zero in 5 s and canovercome disruption of the uncertainty of the system and the exteriordisturbance. Finally, an example is given to illustrate theeffectiveness of the proposed synchronization control method.
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