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Iterative algorithms for divergence based density identification in Preisach model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F13%3A00210458" target="_blank" >RIV/68407700:21340/13:00210458 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Iterative algorithms for divergence based density identification in Preisach model

  • Original language description

    Many systems with hysteresis are adequately represented by the Preisach model. Our target is to find a probability density function of this model just from the knowledge of hysteresis curve, it means only from the dependence of the output signal on the input signal. In this paper we introduce few numerical iterative methods to find this PM space density function.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JS - Reliability and quality management, industrial testing

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    SPMS 2013 Stochastic and Physical Monitoring Systems Proceedings

  • ISBN

    978-80-01-05383-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    105-109

  • Publisher name

    ČVUT

  • Place of publication

    Praha

  • Event location

    Nebřich

  • Event date

    Jun 24, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article