DocumentCode
2249118
Title
Unscented filtering for interval-constrained nonlinear systems
Author
Teixeira, Bruno O S ; Tôrres, Leonardo A B ; Aguirre, Luis A. ; Bernstein, Dennis S.
Author_Institution
Dept. of Electron. Eng., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil
fYear
2008
fDate
9-11 Dec. 2008
Firstpage
5116
Lastpage
5121
Abstract
This paper addresses the state-estimation problem for nonlinear systems with an interval constraint on the state vector. Approximate solutions to this problem are reviewed and compared with new algorithms, which are based on the unscented Kalman filter. An illustrative example is discussed.
Keywords
Kalman filters; nonlinear systems; state estimation; interval constraint; interval-constrained nonlinear systems; state estimation problem; state vector; unscented Kalman filter; unscented filtering; Aerodynamics; Chemicals; Control systems; Filtering; Gaussian noise; Linear systems; Nonlinear control systems; Nonlinear systems; State estimation; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location
Cancun
ISSN
0191-2216
Print_ISBN
978-1-4244-3123-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2008.4739141
Filename
4739141
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