This paper details using sensitivity analysis techniques to enhance computer simulation models and associated parameter measurements. Inverse sensitivity techniques are presented, which unlike classical sensitivity techniques, predict the change of a model input parameter required to cause a specific change in a model output. Critical parameters are identified, indicating areas where upgrades to parameter measurement techniques may be needed. This information also helps identify areas where simulation models are deficient or in error. Examples of the use of this sensitivity analysis technique are presented. The technique, applied to vehicle handling dynamics here, is general and applies to other types of simulations.


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    Title :

    Improving vehicle handling simulation via sensitivity analysis


    Additional title:

    Sensitivitätsanalyse zur Verbesserung der Fahrdynamik-Simulation


    Contributors:

    Published in:

    Publication date :

    1992


    Size :

    10 Seiten, 10 Bilder, 6 Tabellen, 15 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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