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Generation of Sparse Jacobians for the Function Mock-Up Interface 2.0

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Author

  • Johan Åkesson
  • Willi Braun
  • Petter Lindholm
  • Bernhard Bachmann

Summary, in English

Derivatives, or Jacobians, are commonly required by numerical algorithms. Access to accurate Jacobians often improves the performance and robustness of algorithms, and in addition, efficient implementation of Jacobian computations can reduce the over-all execution time. In this paper, we present methods for computing Jacobians in the context of the Functional Mock-up Interface (FMI), and Modelica. Two prototype implementations, in JModelica.org and OpenModelica are presented and compared in industrial benchmarks.

Publishing year

2012

Language

English

Pages

185-196

Publication/Series

Proceedings of the 9th International Modelica Conference

Document type

Conference paper

Publisher

The Modelica Association

Topic

  • Control Engineering

Keywords

  • Functional Mock-up
  • Interface Analytic Jacobians
  • Automatic Differentiation
  • JModelica.org OpenModelica

Conference name

9th International Modelica Conference

Conference date

2012-09-03

Conference place

Munich, Germany

Status

Published

Project

  • LCCC

Research group

  • LCCC

ISBN/ISSN/Other

  • ISBN: 978-91-7519-826-2