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Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F14%3APU110424%21RIV15-MSM-26220___
rdf:type
n15:Vysledek skos:Concept
dcterms: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. 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.
dcterms:title
Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities
skos:prefLabel
Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities
skos:notation
RIV/00216305:26220/14:PU110424!RIV15-MSM-26220___
n4:aktivita
n9:P
n4:aktivity
P(ED2.1.00/03.0072), P(TA04011279)
n4:dodaniDat
n10:2015
n4:domaciTvurceVysledku
n8:1435299 n8:4291484 n8:1467379
n4:druhVysledku
n5:O
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n14:predkladatel
n4:idSjednocenehoVysledku
31074
n4:idVysledku
RIV/00216305:26220/14:PU110424
n4:jazykVysledku
n13:eng
n4:klicovaSlova
Symbolic analysis, symbolic simplification, error prediction, worst-case analysis, linear circuits.
n4:klicoveSlovo
n6:Symbolic%20analysis n6:linear%20circuits. n6:worst-case%20analysis n6:symbolic%20simplification n6:error%20prediction
n4:kontrolniKodProRIV
[405D71CB72C0]
n4:obor
n11:JA
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
3
n4:projekt
n7:TA04011279 n7:ED2.1.00%2F03.0072
n4:rokUplatneniVysledku
n10:2014
n4:tvurceVysledku
Biolková, Viera Kolka, Zdeněk Biolek, Dalibor
n17:organizacniJednotka
26220