A Parameter Estimation Toolbox for Modelica/FMI-Based Models Exploiting Global Optimization Methods
Presenter: Meaghan Podlaski
Citation:
M. Podlaski, L. Vanfretti, T. Bogodorova, T. Rabuzin and M. Baudette, “RaPId - A Parameter Estimation Toolbox for Modelica/FMI-Based Models Exploiting Global Optimization Methods,” SYSID 2021 - 19th IFAC Symposium on System Identification – Learning Models for Decision and Control, Padova, Italy, 14-16 July 2021.
Paper: https://tinyurl.com/RapidSysID2021
Abstract:
This paper describes new additions to the Rapid Parameter Identification Toolbox (RaPId), which is an open-source \textsc{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.