This paper deals with the application of stochastic state estimators in vehicle dynamics control. It is often unrealistic to assume that all vehicle states and the disturbances acting on it can be measured. System states that cannot be measured directly, can be estimated by a Kalman Filter. The idea of the Kalman filter is to implement a model of the real system in an on-board computer in parallel with the system itself. This paper will give 3 examples of this principle applied to automotive systems.


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    Title :

    Vehicle dynamics estimation using Kalman filters


    Contributors:

    Published in:

    Vehicle System Dynamics ; 32 , 2 ; 171-184


    Publication date :

    1999


    Size :

    14 Seiten, 5 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    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


    Vehicle dynamics estimation using Kalman filters

    Venhovens,P.J. / Naab,N. / Bayerische Motorenwerke,BMW,Muenchen,DE | Automotive engineering | 1999


    Vehicle Dynamics Estimation Using Kalman Filters

    Venhovens, P.J.Th | Online Contents | 1999


    Vehicle Dynamics Estimation Using Kalman Filters

    Venhovens, Paul J.TH. / Naab, Karl | Taylor & Francis Verlag | 1999