Detail publikace

Ranking Algorithm for Multiphysics Symbolic Analysis with Worst-Case Error Estimation

KOLKA, Z. BIOLKOVÁ, V. BIOLEK, D.

Originální název

Ranking Algorithm for Multiphysics Symbolic Analysis with Worst-Case Error Estimation

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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 procedure. The traditional approach consists in the evaluation of errors caused by simplification only for the nominal parameters of network components. An advantage of the proposed approach is that the validity of approximated expression is checked over the tolerance interval of component parameters using vertex-based worst-case analysis.

Klíčová slova

mechatronic systems; symbolic analysis; simplification; error prediction; linear systems

Autoři

KOLKA, Z.; BIOLKOVÁ, V.; BIOLEK, D.

Rok RIV

2015

Vydáno

10. 1. 2015

Nakladatel

World Scientific and Engineering Academy

Místo

Tenerife, Spain

ISBN

978-1-61804-279-8

Kniha

Proceedings of the 6th International Conference on Circuits, Systems, Control, Signals (CSCS '15)

Strany od

61

Strany do

65

Strany počet

5

BibTex

@inproceedings{BUT118135,
  author="Zdeněk {Kolka} and Viera {Biolková} and Dalibor {Biolek}",
  title="Ranking Algorithm for Multiphysics Symbolic Analysis with Worst-Case Error Estimation",
  booktitle="Proceedings of the 6th International Conference on Circuits, Systems, Control, Signals (CSCS '15)",
  year="2015",
  pages="61--65",
  publisher="World Scientific and Engineering Academy",
  address="Tenerife, Spain",
  isbn="978-1-61804-279-8"
}