%0 Journal Article
%T Parameter identification of nonlinear system and its application based on strong tracking filter and wavelet transform<br>基于强跟踪滤波器及小波变换的非线性系统参数辨识及应用
%A CHEN Jie
%A DENG Fang
%A CHEN Wen-jie
%A MA Tao
%A <br>陈杰
%A 邓方
%A 陈文颉
%A 马韬
%J 控制理论与应用
%D 2010
%I 
%X The strong tracking extended Kalman filter(STEKF) is used as the main frame and the linearization and state expansion are employed to estimate the time-varying parameters and states of nonlinear systems. Based on the general STEKF, a wavelet-transform-based filter is proposed to estimate the variance of the measurement noise, and a new filtering gain factor is utilized in STEKF to eliminate the tracking overshoot. Main formulas for calculation and the methods for selecting parameters are presented. Monte Carlo simulation and practical application in identification of ballistic parameters demonstrate that the proposed method can exactly estimate the abruptly changing parameters even when the variance of the measurement noise is time-varying. The estimation accuracy of parameters and states is higher than that of the general STEKF.
%K nonlinear systems
%K wavelet transform
%K strong tracking filter
%K parameter identification<br>非线性系统
%K 小波变换
%K 强跟踪滤波器
%K 参数辨识
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=9F971D042127CFAB13F2B39591305E92&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=0B52E912EAFE3700&eid=195767709E606C85&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=0&reference_num=23