%0 Journal Article
%T Control of chaos solely based on RBF neural network without an analytical model<br>基于径向基函数神经网络的未知模型混沌系统控制
%A Liu Ding
%A Ren Hai-Peng
%A Kong Zhi-Qiang
%A <br>刘 丁
%A 任海鹏
%A 孔志强
%J 物理学报
%D 2003
%I 
%X An intelligent control method based on RBF neural network is proposed for chaos control- The control objective can be either periodic orbits or continuous variable functions without the need of an analytic model- The method is still effective when there are parameter perturbation and measurement noise- The influence of the RBF model error upon control precision is studied, and related theorem is developed and testified- Simulation results with a Logistic mapping and Henon attractor show the effectiveness and feasibility of this method-
%K chaos control
%K RBF neural network
%K parameter perturbation
%K measurement noise<br>混沌控制，
%K 径向基函数神经网络，
%K 参数摄动，
%K 测量噪声
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=6E709DC38FA1D09A4B578DD0906875B5B44D4D294832BB8E&cid=47EA7CFDDEBB28E0&jid=29DF2CB55EF687E7EFA80DFD4B978260&aid=E6A33769118B59C8&yid=D43C4A19B2EE3C0A&vid=286FB2D22CF8D013&iid=38B194292C032A66&sid=20ADD38F841C6A4B&eid=A726E84831FE609B&journal_id=1000-3290&journal_name=物理学报&referenced_num=8&reference_num=9