Conference article

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

Joscha Müller
Lawrence Berkeley National Laboratory

Maxime Baudette
Lawrence Berkeley National Laboratory

Daniel Arnold
Lawrence Berkeley National Laboratory

Michael Sankur
Lawrence Berkeley National Laboratory

Download article

Published in: Proceedings of the American Modelica Conference 2020, Boulder, Colorado, USA, March 23-25, 2020

Linköping Electronic Conference Proceedings 169:4, p. 36-45

Show more +

Published: 2020-11-03

ISBN: 978-91-7929-900-2

ISSN: 1650-3686 (print), 1650-3740 (online)


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.


No keywords available


No references available

Citations in Crossref