DocumentCode :
3693133
Title :
Unscented Rauch-Tung-Striebel smoothing for nonlinear descriptor systems
Author :
Julian Mercieca;Parham Aram;Visakan Kadirkamanathan
Author_Institution :
Dept. of Autom. Control &
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
491
Lastpage :
496
Abstract :
This paper extends the application of the unscented Rauch-Tung-Striebel smoother to nonlinear descriptor systems, where the mean and covariance estimates of the algebraic states can also be computed. The consistency in the smoother solution is ensured through the unscented transformation of the differential state estimates. The method also allows for measurements that are functions of both differential and algebraic states. The performance of the proposed smoother is demonstrated by an electrochemical case study.
Keywords :
"Mathematical model","Smoothing methods","Observers","Kalman filters","Computational modeling","Indexes"
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 2015 European
Type :
conf
DOI :
10.1109/ECC.2015.7330591
Filename :
7330591
Link To Document :
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