To study the synchronization control of uncertain Lorenz systems and its application in secure communication, the time-delay feedback Lorenz chaotic system is first designed and its chaotic dynamics is analyzed by the Poincare map and the power spectrum in this paper. And then, the neural network sliding-mode adaptive synchronization control scheme is proposed for the delayed feedback Lorenz chaotic system. The RBF neural network is used to approximate the system uncertainty. Combining with the output of neural networks, sliding mode control, adaptive control technique are applied to achieve a single dimension signal controller. On the basis of the proposed synchronization control scheme, the application in secure communication is developed. The experimental results show that the proposed neural network sliding-mode adaptive synchronization control scheme can realize chaotic synchronization and can be used in secure communication, which has strong anti-interference ability.
