Dynamic Parameter Sensitivities: Summary of Computation Methods for Continuous-time Modelica Models

Applications of Sensitivity Analysis (SA) encouraged several Modelica platforms to independently provide facilities for externally computing Dynamic Parameter Sensitivities (DPS). FMI specifies an optional function call for evaluating directional derivatives. On the other hand, mathematical foundation for uniform representation of DPS at the Modelica language level has been established. This has resulted in a platform-independent approach demonstrated through example libraries. The paper neutrally hints that already conducted efforts may converge to the integration of language facilities for DPS without neglecting to mention many mathematical difficulties. Surprisingly, many of what could be thought to be algorithmic obstacles have intuitive solutions along a minimalist implementation approach.

• Publication year

  2019

• Venue

  International Modelica Conference

• Publication date

  2019-02-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.3384/ecp19157795
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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