Publication detail

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

KOLKA, Z. BIOLKOVÁ, V. BIOLEK, D.

Original Title

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

English Title

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

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2015

Released

10.01.2015

Publisher

World Scientific and Engineering Academy

Location

Tenerife, Spain

ISBN

978-1-61804-279-8

Book

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

Pages from

61

Pages to

65

Pages count

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",
  annote="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.",
  address="World Scientific and Engineering Academy",
  booktitle="Proceedings of the 6th International Conference on Circuits, Systems, Control, Signals (CSCS '15)",
  chapter="118135",
  howpublished="electronic, physical medium",
  institution="World Scientific and Engineering Academy",
  year="2015",
  month="january",
  pages="61--65",
  publisher="World Scientific and Engineering Academy",
  type="conference paper"
}