%0 Journal Article
%T Synchronization Scheme for Uncertain Chaotic Systems via RBF Neural Network
%A CHEN Mou
%A JIANG Chang-Sheng
%A WU Qing-Xian
%A CHEN Wen-Hua
%A <br>陈谋
%A 姜长生
%A 吴庆宪
%A 陈文华
%J 中国物理快报
%D 2007
%I 
%X A sliding mode adaptive synchronization controller is presented with a neural network of radial basis function (RBF) for two chaotic systems. The uncertainty of the synchronization error system is approximated by the RBF neural network. The synchronization controller is given based on the output of the RBF neural network. The proposed controller can make the synchronization error convergent to zero in 5s and can overcome disruption of the uncertainty of the system and the exterior disturbance. Finally, an example is given to illustrate the effectiveness of the proposed synchronization control method.
%K 05
%K 45
%K Pq
%K 05
%K 45
%K Gg<br>控制器
%K 不确定混沌系统
%K 自动化控制
%K 同步性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=E27DA92E19FE279A273627875A70D74D&aid=A6F1F92187EC7BB8308BE6501EB1C0DD&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=38DB5AF4AD8FDCCA&eid=3DC9CEF02B8360EE&journal_id=0256-307X&journal_name=中国物理快报&referenced_num=0&reference_num=0