DocumentCode :
16637
Title :
Robust Kalman-Bucy Filter
Author :
George, Jinto
Author_Institution :
U.S. Army Res. Lab., Adelphi, MD, USA
Volume :
58
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
174
Lastpage :
180
Abstract :
Development of a robust estimator for uncertain stochastic systems under persistent excitation is presented. The given continuous-time stochastic formulation assumes norm bounded parametric uncertainties and excitations. When there are no system uncertainties, the performance of the proposed robust estimator is similar to that of the Kalman-Bucy filter and the proposed approach asymptotically recovers the desired optimal performance in the presence of uncertainties and or persistent excitation.
Keywords :
Kalman filters; continuous time systems; robust control; stochastic systems; uncertain systems; continuous-time stochastic formulation; norm bounded parametric uncertainties; optimal performance; persistent excitation; robust Kalman-Bucy filter; robust estimator; uncertain stochastic systems; Convergence; Estimation error; Noise; Robustness; Stochastic processes; Uncertainty; Upper bound; $H_{infty}$ filtering; Kalman–Bucy filter;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2012.2203052
Filename :
6213079
Link To Document :
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