Title :
Kalman filtering for continuous-time systems with multiple delayed measurements
Author :
Lu, X. ; Zhang, H. ; Wang, H. ; Wang, W. ; Xie, L.
Author_Institution :
Res. Center of Inf. & Control, Dalian Univ. of Technol., Dalian
fDate :
3/1/2008 12:00:00 AM
Abstract :
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.
Keywords :
Kalman filters; Riccati equations; continuous time filters; Kalman filtering; Riccati differential equations; linear continuous-time systems; multiple delayed measurements;
Journal_Title :
Signal Processing, IET
DOI :
10.1049/iet-spr:20060045