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

Publication Type

Conference Paper

Date Published

09/2020

Authors

Mueller, Joscha, Maxime Baudette, Daniel Arnold, Michael D. Sankur

DOI

10.3384/ecp2016936

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.

Journal

Proceedings of the American Modelica Conference 2020

Year of Publication

2020

URL

https://doi.org/10.3384/ecp2016936

Organization

Energy Analysis and Environmental Impacts Division