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 , 2-3 ; 171-184


    Publication date :

    1999-08-01


    Size :

    14 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown



    Vehicle dynamics estimation using Kalman filters

    Venhovens, P.J.T. / Naab, K. | Tema Archive | 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

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


    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

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