RaPId - A Parameter Estimation Toolbox for Modelica/FMI-Based Models Exploiting Global Optimization MethodsShow others and affiliations
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
2021-10-222021-10-222023-06-20Bibliographically approved