|Title||"A Modelica Library for Continuous and Discrete Extremum Seeking for Static and Dynamic Systems"|
|Publication Type||Conference Paper|
|Year of Publication||2020|
|Authors||Joscha Mueller, Maxime Baudette, Daniel Arnold, Michael D Sankur|
|Conference Name||Proceedings of the American Modelica Conference 2020|
|Conference Location||Boulder, Colorado|
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.