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Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110424" target="_blank" >RIV/00216305:26220/14:PU110424 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities

  • Original language description

    Multiphysics symbolic analysis allows combining classical electrical circuits, controllers, electro-mechanical converters and mechanical parts of electric drives. The systems analyzed can be composed of both elementary components and more complex behavioral blocks (regulators, converters, drives, etc.). The paper deals with multiphysics equation/matrix-based symbolic simplification with a control mechanism that uses the worst case analysis to incorporate component variations into the ranking mechanism.The traditional approach consists in the evaluation of errors caused by simplification only for the nominal parameters of network components. The proposed procedure uses a fast algorithm for computing the sensitivities needed for the worst-case analysis.An advantage of the proposed approach is that the validity of approximated expression is checked over the tolerance interval of component parameters.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

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