"A Modelica Library for Continuous and Discrete Extremum Seeking for Static and Dynamic Systems"

"A Modelica Library for Continuous and Discrete Extremum Seeking for Static and Dynamic Systems"

Title"A Modelica Library for Continuous and Discrete Extremum Seeking for Static and Dynamic Systems"
Publication TypeConference Paper
Year of Publication2020
AuthorsJoscha Mueller, Maxime Baudette, Daniel Arnold, Michael D Sankur
Conference NameProceedings of the American Modelica Conference 2020
Date Published09/2020
PublisherLiU E-Press)
Conference LocationBoulder, Colorado
Abstract

Extremum Seeking (ES) is an optimization scheme that has become a popular tool for addressing decision-making problems in settings where system models are unavailable or inaccurate and communications are unreliable. This paper presents an open source Modelica Extremum Seeking library that introduces different continuous and discrete ES controllers and examples for possible ES control applications. The controllers are available for Modelica and in the Functional Mock-up Interface (FMI) standard, which allows the models to be used in a variety of different software environments.

URLhttps://doi.org/10.3384/ecp2016936
DOI10.3384/ecp2016936
Refereed DesignationUnknown