Simulation-based verification of electronic control units must face demands related to more functionality and less time to verify it. To ensure a reliable system, one must determine how the omnipresent, internal and external variations affect the target response, and find safe bounds for it. The main challenge is to optimally characterize a high number of sources of variation, with a reduced number of simulation runs. The paper conducts more efficient sensitivity and worst-case studies by applying concepts of Design of Experiments: screening to reduce the dimension of the verification space; sequential experiments for sensitivity analysis; gradient-based search for response bounds. The approach is evaluated on simulations of an airbag driver IC and compared with alternative methods.


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    Titel :

    Simulation-based Sensitivity and Worst-Case Analyses of Automotive Electronics


    Beteiligte:
    Rafaila, Monica (Autor:in) / Decker, Christian (Autor:in) / Grimm, Christoph (Autor:in) / Pelz, Georg (Autor:in)


    Erscheinungsdatum :

    2010


    Format / Umfang :

    4 Seiten, 14 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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