Derivative-free filters and their application in vehicle dynamics analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F10%3APU84624" target="_blank" >RIV/00216305:26210/10:PU84624 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Derivative-free filters and their application in vehicle dynamics analysis
Original language description
In this project we focused our attention on more complex mathematical description of vehicle dynamics which makes the conventional Kalman filter unusable. New filters capable to estimate states of even nonlinear systems are therefore presented. After their mathematical derivation a software implementation in Matlab/Simulink is shown, finally followed by a graphic comparison of obtained results. Confrontations with results from linear Kalman filter are also provided to show an improvement of the new filters.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
JR - Other machinery industry
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů