Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

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.

Anglický 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.

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"
}