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.


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    Title :

    Derivative-free filters and their application in vehicle dynamics analysis


    Additional title:

    Ableitungsfreie Filter und ihre Anwendung bei der Analyse der Fahrzeugdynamik


    Contributors:


    Publication date :

    2010


    Size :

    8 Seiten, 6 Bilder, 3 Tabellen, 18 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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    Derivative computation by multiscale filters

    De Ma, S. / Li, B. | British Library Online Contents | 1998


    Vehicle Dynamics Estimation Using Kalman Filters

    Venhovens, P. J. T. / Naab, K. | British Library Conference Proceedings | 1999


    Vehicle Dynamics Estimation Using Kalman Filters

    Venhovens, P. / Naab, K. / Society of Automotive Engineers of Japan | British Library Conference Proceedings | 1998


    Vehicle dynamics estimation using Kalman filters

    Vennhovens, P. / Naab, K. | Tema Archive | 1998