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	Kalman filtering for continuous-time systems with multiple delayed measurements
	Lu, X. ; Zhang, H. ; Wang, H. ; Wang, W. ; Xie, L.
	2010-05-06 ; 2010-05-06
关键词	STATE ESTIMATION LINEAR-SYSTEMS INPUT Engineering, Electrical & Electronic
中文摘要	The paper focuses on the Kalman filtering problem for linear continuous-time systems with multiple delayed measurements. An explicit and simpler solution to the Kalman filtering problem is presented for such systems. The approach applied is the reorganised innovation analysis. The obtained Kalman filter is given in terms of Riccati differential equations. A numerical example is given to demonstrate the proposed approach.
语种	英语 ; 英语
出版者	INST ENGINEERING TECHNOLOGY-IET ; HERTFORD ; MICHAEL FARADAY HOUSE SIX HILLS WAY STEVENAGE, HERTFORD SG1 2AY, ENGLAND
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/9244]
专题	清华大学
推荐引用方式 GB/T 7714	Lu, X.,Zhang, H.,Wang, H.,et al. Kalman filtering for continuous-time systems with multiple delayed measurements[J],2010, 2010.
APA	Lu, X.,Zhang, H.,Wang, H.,Wang, W.,&Xie, L..(2010).Kalman filtering for continuous-time systems with multiple delayed measurements..
MLA	Lu, X.,et al."Kalman filtering for continuous-time systems with multiple delayed measurements".(2010).

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