基于时滞不确定Lorenz混沌同步的保密通信

Secure communication based on synchronization of time delay uncertain Lorenz chaotic systems

摘要:

针对一类含保密信息的时延不确定Lorenz混沌系统，提出了基于径向基神经网络的同结构同步控制方案，在混沌系统同步的基础上，有效地恢复出隐藏的多路明文信号。利用神经网络的良好逼近能力对时延Lorenz混沌系统设计鲁棒同步控制器，实现了同步误差的收敛。当同步误差收敛时，混沌系统所传输的隐藏信号则可以正确恢复。仿真结果表明，文章所给出的同步控制器可以在5 s内实现时延不确定Lorenz混沌系统同步，并能恢复出多路明文信号。

Abstract:

The robust synchronization control scheme is proposed based on Radial Basis Function(RBF) neural network for time delayed uncertain Lorenz chaotic systems with secure information. After the synchronization of time delayed uncertain Lorenz chaotic systems is obtained，the secure information will be efficiently recovered.Using the approximation ability of RBF neural network，the robust synchronization controller is proposed and the convergence of the synchronization error is achieved. When the synchronization is obtained，the hidden information can be recovered according to the states of the slave Lorenz chaotic system. The simulation results demonstrate that the proposed robust synchronization scheme can efficiently guarantee the chaotic system synchronization between two time delayed Lorenz chaotic systems and multi-channel signals can be recovered in 5 s.