基于滑模神经网络控制的混沌同步及应用

本文基于滑模控制技术及径向基函数神经网络(RBF),研究了统一混沌系统的同步问题。设计出一个简单单维控制器,将该制器用于初值不同的统一混沌系统同步控制中,实现了统一混沌系统的同步,在Simulink中编写模块搭建混沌同步仿真系统,验证本文方法的有效性,最后将此方法用于混沌保密通信中,利用混沌信号掩盖实际要传输的信号,在接收端,由同步的混沌系统分离出实际传输的信号,成功地实现了信号的加密和还原。

Synchronizat iona nda pplication of chaotic system based on neural networks and siding mode control

This paper studied the synchronization of the unified chaotic system ,based on the sliding mode con-trol and radial basis function neural network .By designing a simple single dimensional controller ,the synchro-nization of unified chaotic system with different initial values is achieved .Then simulation are presented to show the effectiveness of the proposed technique .Finally,as an application ,the secure communication is dis-cussed.At the transmitting terminal ,Chaotic Signal masked the actual signal to be transmitted ,At the receiving terminal,the useful signal was separated by synchronization chaotic system ,successfully achieved the encryp-tion and restored signals.