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Efficient Nonlinear Models of Automotive Dampers

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F09%3A00161199" target="_blank" >RIV/68407700:21220/09:00161199 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Nonlinear Models of Automotive Dampers

  • Original language description

    The paper deals with the creation of the global phenomenological damper model using the neuro-fuzzy identification algorithm LOLIMOT. The models are identified based on the measured data of passenger car shock absorber. The different variants of model inputs are tested. The damper force of the final model depends statically on relative velocity and relative acceleration inputs. The identified model is implemented into simulation model.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JO - Land transport systems and equipment

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Multibody Dynamics 2009

  • ISBN

    978-83-7207-813-1

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

  • Publisher name

    Oficyna wydawnicza Politechniki Warszawskej

  • Place of publication

    Warszawa

  • Event location

    Warsaw

  • Event date

    Jun 29, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article