%0 Journal Article
%T Synchronization of uncertain chaotic systems based on neural network and sliding mode control<br>基于神经网络和滑模控制的不确定混沌系统同步
%A Li Hua-Qing
%A Liao Xiao-Feng
%A Huang Hong-Yu
%A <br>李华青
%A 廖晓峰
%A 黄宏宇
%J 物理学报
%D 2011
%I 
%X The synchronization between two unknown chaotic systems is achieved by designing a controller based on the sliding mode control technique and radial basis function neural network. The controller design method is independent of the system mathematical model, but only depends on the output of the system state. Moreover, it is robust to parameter uncertainties and the outside interference. Finally, synchronization between unknown Lorenz systems and between unknown Lorenz system and Chen system are achieved using the proposed method. The response time is very short and the synchronization performance is good.
%K chaos synchronization
%K sliding mode control
%K neural network
%K uncertain chaotic system<br>混沌同步
%K 滑模控制
%K 神经网络
%K 不确定混沌系统
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=220A1923EE95218664FB9F0FBBFE1D26&yid=9377ED8094509821&vid=BFE7933E5EEA150D&iid=0B39A22176CE99FB&sid=49B96C049022BEB6&eid=49B96C049022BEB6&journal_id=1000-3290&journal_name=物理学报&referenced_num=0&reference_num=29