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RaPId - A Parameter Estimation Toolbox for Modelica/FMI-Based Models Exploiting Global Optimization Methods
Rensselaer Polytech Inst, Troy, NY 12180 USA..
Rensselaer Polytech Inst, Troy, NY 12180 USA..
Rensselaer Polytech Inst, Troy, NY 12180 USA..
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0003-4736-4760
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2021 (English)In: IFAC PAPERSONLINE, Elsevier BV , 2021, Vol. 54, no 7, p. 391-396Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes new additions to the Rapid Parameter Identification Toolbox (RaPId), which is an open-source MATLAB toolbox for parameter estimation using models developed with the Modelica language and exported with the functional mock-up interface (FMI) Standard. These additions include an updated graphical user interface (GUI), an optimization method utilizing multiple starting points for a gradient descent optimization, and examples for different cyber-physical system applications such as the Duffing-Holmes equation modeling in a form of electrical circuit and a hydroelectric power plant modeling.

Place, publisher, year, edition, pages
Elsevier BV , 2021. Vol. 54, no 7, p. 391-396
Keywords [en]
Dynamic models, Electric power systems, Global optimization, Parameter estimation, Software tools
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-303779DOI: 10.1016/j.ifacol.2021.08.391ISI: 000696396200068Scopus ID: 2-s2.0-85118102921OAI: oai:DiVA.org:kth-303779DiVA, id: diva2:1605303
Conference
19th IFAC Symposium on System Identification (SYSID), JUL 13-16, 2021, Padova, ITALY
Note

QC 20211022

Available from: 2021-10-22 Created: 2021-10-22 Last updated: 2023-06-20Bibliographically approved

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Rabuzin, Tin

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CiteExportLink to record
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  • apa
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  • de-DE
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Output format
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