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
Link To Document :
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