DocumentCode :
818018
Title :
Discrete Kalman filtering using a generalized companion form
Author :
Luo, Z. ; Bullock, T.E.
Author_Institution :
University of Florida, Gainesville, Florida, USA
Volume :
20
Issue :
2
fYear :
1975
fDate :
4/1/1975 12:00:00 AM
Firstpage :
227
Lastpage :
230
Abstract :
For an n th-order constant system with p outputs, this short paper shows that the Kalman filter gain can be described by np -p(p - 1)/ 2 difference equations instead of the usual n(n + 1)/2 difference equations. This is the minimum number of difference equations required for the solution of the Kalman filter gain. For the special case of stationary processes, this short paper further shows that only np-p(p - 1)/2 combinations of the system noise covariance enter into determination of the Kalman filter gain. The results have application in filtering and in the quadratic regulator problems.
Keywords :
Companion matrices; Kalman filtering; Linear systems, stochastic discrete-time; State estimation; Covariance matrix; Difference equations; Feedback; Filtering; Kalman filters; Observability; Random variables; Regulators; Riccati equations; Stochastic systems;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1975.1100893
Filename :
1100893
Link To Document :
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