In this project the authors focused their 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.
Derivative-free filters and their application in vehicle dynamics analysis
Ableitungsfreie Filter und ihre Anwendung bei der Analyse der Fahrzeugdynamik
2010
8 Seiten, 6 Bilder, 3 Tabellen, 18 Quellen
Conference paper
English
Vehicle dynamics estimation using Kalman filters
Tema Archive | 1999
|Vehicle Dynamics Estimation Using Kalman Filters
British Library Conference Proceedings | 1998
|Derivative computation by multiscale filters
British Library Online Contents | 1998
|Vehicle Dynamics Estimation Using Kalman Filters
Taylor & Francis Verlag | 1999
|Vehicle dynamics estimation using Kalman filters
Automotive engineering | 1999
|