Established in 2005 under support of MŠMT ČR (project 1M0572)

Publications

Performance analysis of derivative-free filters

Typ:
Conference paper
Proceedings name:
Proceedings of the 44th IEEE Conference on Decision and Control, and European Control Conference ECC'05
Serie:
Seville, Spain
Year:
2005
Pages:
1941-1946
ISBN:
0-7803-9568-9
ISSN:
0191-2216
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Anotation:
Nonlinear state estimation by the derivative-free Sigma Point Kalman Filters is treated. Particularly, impact of the derivative-free Kalman filters on estimation quality of the Sigma Point Gaussian Sum Filters is discussed. New relations between the Unscented Kalman Filter and the Divided Difference Filters are derived. The main stress is laid on the covariance matrixes which have crucial role for the behaviour explanation of the Sigma Point Gaussian Sum Filters. The theoretical results are illustrated in some numerical examples.
 
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