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  4. Kalman Filtering for a Generalized Class of Nonlinear Systems and a New Gaussian Quadrature Technique
 
research article

Kalman Filtering for a Generalized Class of Nonlinear Systems and a New Gaussian Quadrature Technique

Charalampidis, Alexandros C.
•
Papavassilopoulos, George P.
2012
Ieee Transactions On Automatic Control

The class of nonlinear systems treated in this technical note consists of the discrete time nonlinear systems that are formed by the interconnection of linear systems through static nonlinearities with few inputs. This special structure is exploited to reduce the dimension of the integrals involved in the propagation of mean values and covariances, thus permitting accurate calculations. Furthermore, a new quadrature scheme suitable for nonlinear Kalman filtering is introduced. The proposed techniques are applied to a seven-dimensional numerical example. The results show that they can increase the performance significantly.

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Type
research article
DOI
10.1109/Tac.2012.2208289
Web of Science ID

WOS:000310890900031

Author(s)
Charalampidis, Alexandros C.
Papavassilopoulos, George P.
Date Issued

2012

Publisher

Ieee-Inst Electrical Electronics Engineers Inc

Published in
Ieee Transactions On Automatic Control
Volume

57

Issue

11

Start page

2967

End page

2973

Subjects

Covariance matrices

•

Kalman filtering

•

nonlinear filters

•

numerical methods

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
STI  
Available on Infoscience
February 27, 2013
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/89284
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