Recursive Extended Least-squares Method for Unity Feedback System

摘要：

In this paper, the problem of unbiased recursive identification of a plant model in closed-loop operation with unit feedback is considered. A recursive extended least squares (RELS) algorithm for unity feedback system is presented by means of the model equivalence idea. The proposed algorithm is simple and efficient and can give the unbiased estimation of the plant model parameters in closed-loop system, further more, and can be on-line implemented. The advantages of the proposed RELS algorithm over the other approach are shown by simulation tests. Finally, this paper gives some relevant future works about RRLS method for closed-loop identification.

关键词： Closed-loop identification recursive extended least squares algorithm parameter estimation unbiased recursive identification

作者: Zhang Yong Cui Guimei

作者单位: School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, P.R. China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2046-2049

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）