Publication detail

Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities

KOLKA, Z. BIOLEK, D. BIOLKOVÁ, V.

Original Title

Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities

English Title

Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities

Type

miscellaneous

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 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.

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 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.

Keywords

Symbolic analysis, symbolic simplification, error prediction, worst-case analysis, linear circuits.

Released

15.10.2014

Publisher

AFCEA

Location

L. Mikuláš, SR

Pages from

66

Pages to

71

Pages count

6

BibTex


@misc{BUT109395,
  author="Zdeněk {Kolka} and Dalibor {Biolek} and Viera {Biolková}",
  title="Multiphysics Symbolic Analysis with Error Prediction Based on Sensitivities",
  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 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.",
  address="AFCEA",
  booktitle="Proceedings of The International Conference on New Trends in Signal Processing 2014",
  chapter="109395",
  howpublished="electronic, physical medium",
  institution="AFCEA",
  year="2014",
  month="october",
  pages="66--71",
  publisher="AFCEA",
  type="miscellaneous"
}