DocumentCode
2469453
Title
Robustification and optimization of a Kalman filter with measurement loss using linear precoding
Author
Blind, Rainer ; Uhlich, Stefan ; Yang, Bin ; Allgöwer, Frank
Author_Institution
Inst. for Syst. Theor. & Autom. Control, Univ. of Stuttgart, Stuttgart, Germany
fYear
2009
fDate
10-12 June 2009
Firstpage
2222
Lastpage
2227
Abstract
This paper considers a linear precoding for a Kalman filter which receives the measurements over an erasure channel. We show how to design the precoding matrix that either robustifies the Kalman filter with respect to packet losses or reduces the estimation error. The effectiveness of the proposed method is demonstrated by two examples.
Keywords
Kalman filters; channel coding; control engineering computing; linear codes; matrix algebra; optimisation; precoding; robust control; state estimation; Kalman filter optimization; Kalman filter robustification; erasure channel; linear precoding; measurement loss; networked control system; packet loss; precoding matrix design; state estimation error reduction; Control systems; Distortion measurement; Estimation error; Intelligent sensors; Loss measurement; Microcontrollers; Robust control; Robustness; Sensor systems; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2009. ACC '09.
Conference_Location
St. Louis, MO
ISSN
0743-1619
Print_ISBN
978-1-4244-4523-3
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2009.5160322
Filename
5160322
Link To Document