标题:Comparison of periodic and event-based sampling for linear state estimation
作者:Wang, Bingchang ;Fu, Minyue
作者机构:[Wang, Bingchang ] School of Control Science and Engineering, Shandong University, Jinan, China;[Fu, Minyue ] Department of Control Science and Engine 更多
会议名称:19th IFAC World Congress on International Federation of Automatic Control, IFAC 2014
会议日期:24 August 2014 through 29 August 2014
来源:IFAC Proceedings Volumes (IFAC-PapersOnline)
出版年:2014
卷:19
页码:5508-5513
关键词:Average estimation errors; Event-based estimation; Event-based sampling; Kalman filter; Periodic sampling
摘要:In this paper, the state estimation problem for continuous-time linear systems with two types of sampling is considered. First, the optimal state estimator under periodic sampling is presented. Then the state estimator with event-based updates is designed, i.e., when an event occurs the estimator is updated linearly by using the measurement of output, while between the consecutive event times the estimator is updated by minimum mean-squared error criteria. The average estimation errors under both sampling schemes are compared quantitatively for first and second order systems, respectively. A numerical example is given to compare the effectiveness of two state estimators. © IFAC.
收录类别:EI;SCOPUS
Scopus被引频次:9
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929747568&partnerID=40&md5=e4518579026e393c51cbb4c880f0d498
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