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PARODIS: One MPC framework to control them all. Almost.

Schmitt, Thomas ; Engel, Jens ; Hoffmann, Matthias ; Rodemann, Tobias (2021):
PARODIS: One MPC framework to control them all. Almost. (Preprint)
Darmstadt, 2021 IEEE Conference on Control Technology and Applications (CCTA), San Diego, Calfiornia, 8.8. - 11.8.2021, DOI: 10.26083/tuprints-00018600,
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Item Type: Conference or Workshop Item
Status: Preprint
Title: PARODIS: One MPC framework to control them all. Almost.
Language: English
Abstract:

We introduce the M ATLAB framework PARODIS, the Pareto optimal Model Predictive Control framework for distributed Systems. It is a general-purpose, flexible and easy-to- use framework for discrete state space models. Special features are the support of distributed (hierarchical) systems, scenario-based optimization and built-in methods for determination of the Pareto front and selection of a solution. It uses the popular MATLAB framework YALMIP for the symbolic formulation of optimization problems and models.

Place of Publication: Darmstadt
Collation: 6 Seiten
Classification DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics
Event Title: 2021 IEEE Conference on Control Technology and Applications (CCTA)
Event Location: San Diego, Calfiornia
Event Dates: 8.8. - 11.8.2021
Date Deposited: 15 Jun 2021 07:10
Last Modified: 15 Jun 2021 07:11
DOI: 10.26083/tuprints-00018600
URN: urn:nbn:de:tuda-tuprints-186009
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/18600
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