A Modified Bias Compensation Method for Output Error Systems with Colored Noises
This paper studies the modelling and identi cation problems for output error systems.In order to obtain the unbiased recursive estimates of the systems,this paper presents a modi ed bias compensation based recursive least squares (BC-RLS) identi cation algorithm by means of the pre lter idea and bias compensation principle.Compared with the previous contributions in the bias compensation technique,the proposed algorithm simpli es the bias compensation recursive least squares method and can give the unbiased estimation of the system model parameters in the presence of colored noises,further more,and can be on-line implemented.Finally,the advantages of the proposed BC-RLS algorithm over the other approaches are shown by simulation tests.
ZHANG Yong TIAN Hai ZHANG Zhaojing
School of Information Engineering,Inner Mongolia University of Science and Technology,Baotou 014010, Daier Group Company Limited Shandong,Jining 272000,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）