Derivative-free filters and their application in vehicle dynamics analysis

Kód výsledku v 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>
Výsledek na webu
—
DOI - Digital Object Identifier
—

Jazyk výsledku
angličtina
Název v původním jazyce
Derivative-free filters and their application in vehicle dynamics analysis
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Derivative-free filters and their application in vehicle dynamics analysis
Popis výsledku anglicky
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.

Rok uplatnění
2010
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)