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

Date Published
09/2020
Publication Type
Conference Paper
Authors
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.

Conference Name
Proceedings of the American Modelica Conference 2020
Year of Publication
2020
Publisher
LiU E-Press)
Conference Location
Boulder, Colorado
URL
Refereed Designation
Unknown
Organizations
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