Joscha Müller
Lawrence Berkeley National Laboratory
Maxime Baudette
Lawrence Berkeley National Laboratory
Daniel Arnold
Lawrence Berkeley National Laboratory
Michael Sankur
Lawrence Berkeley National Laboratory
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https://doi.org/10.3384/ecp2016936Published in: Proceedings of the American Modelica Conference 2020, Boulder, Colorado, USA, March 23-25, 2020
Linköping Electronic Conference Proceedings 169:4, p. 36-45
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.
