%0 Journal Article
%T A Staged Adaptive Identification Method with Fully Decoupled Structure for Nonlinear System Based on Volterra Model<br>一种基于Volterra模型的非线性系统具有全解耦结构的递阶式自适应辨识方法
%A WEI Ruixuan
%A HAN Chongzhao
%A <br>魏瑞轩
%A 韩崇昭
%J 控制理论与应用
%D 2002
%I 
%X The decoupled adaptive identification problem for nonlinear system based on Volterra series is discussed in allusion to the corrupted input and output observation data. According to the pseudo linear combination structure of Volterra series model, by applying the principle of the total least squares identification, a total fully decoupled identification idea is revealed. And then a staged adaptive identification algorithm with fully decoupled structure is built, and its framework diagram is shown. The advantage of the presented algorithm is that it possesses higher convergence speed and precision than the partly decoupled identification algorithm under a complete noise data environment. Finally simulation results indicate that the presented algorithm in this paper is efficient.
%K nonlinear system
%K Volterra series
%K total least squares
%K total fully decoupled identification<br>非线性系统
%K Volterra级数
%K 总体最小二乘
%K 总体全解耦辨识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=D39C32396B0B2051&yid=C3ACC247184A22C1&vid=2A8D03AD8076A2E3&iid=0B39A22176CE99FB&sid=C2F76551C0111538&eid=EC34D52BE81085CE&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=8