文献类型：会议论文

英文题名：Ensemble Kalman filtering for nonlinear systems with multiple delayed measurements

作者：Zhou, Yucheng[1] Xu, Jiahe[1] Jing, Yuanwei[2]

第一作者：周玉成

通信作者：Zhou, YC[1]

机构：[1]Chinese Acad Forestry, Inst Wood Ind, Dept Res, Beijing 100091, Peoples R China;[2]Northeastern Univ, Shenyang 110004, Peoples R China

会议论文集：22nd Chinese Control and Decision Conference

会议日期：MAY 26-AUG 28, 2010

会议地点：Xuzhou, PEOPLES R CHINA

语种：英文

外文关键词：ensemble Kalman filter (EnKF); delayed measurements; nonlinear systems; discrete-time

年份：2010

摘要：The ensemble Kalman filter (EnKF) is developed to nonlinear discrete-time systems with multiple delayed measurements. An explicit and simpler solution to the ensemble Kalman filtering problem is presented for such systems, which is slightly modified that the members of measurement ensemble are obtained from uncorrelated sensors in the system but not a Monte Carlo method. The approach applied is the reorganized innovation analysis. A numerical example with a bank-to-turn (BTT) missile autopilot model is given to demonstrate the proposed approach.