Optimal State Estimation for Discrete-time Systems with Delayed Measurements

摘要：

　　This paper investigates the linear minimum mean square error state estimation for discrete-time systems with delayed measurements.Although this problem has been studied widely in the past decades,some fundamental problems remain to be solved and some practical constraints are ignored in previous methods.This paper proposes an improved iterated estimator,using re-organization innovation and observation elimination to investigate the estimation problem.The performance and improvement is clearly demonstrated through the numerical example.The solved problem is important for some complicated engineering projects.

关键词： time-delay system information fusion iterated extended Kalman filter

作者: SUN Yao JING Fengshui LIANG Zize

作者单位: The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,P.R.China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 9022-9026

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）