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

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Item Type:	Conference or Workshop Item
Type of entry:	Primary publication
Title:	PARODIS: One MPC framework to control them all. Almost.
Language:	English
Date:	2021
Place of Publication:	Darmstadt
Collation:	6 Seiten
Event Title:	2021 IEEE Conference on Control Technology and Applications (CCTA)
Event Location:	San Diego, Calfiornia
Event Dates:	8.8. - 11.8.2021
DOI:	10.26083/tuprints-00018600
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.
Status:	Preprint
URN:	urn:nbn:de:tuda-tuprints-186009
Classification DDC:	600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau
Divisions:	18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Robotics (from 01.08.2022 renamed Control Methods and Intelligent Systems)
Date Deposited:	15 Jun 2021 07:10
Last Modified:	15 Jun 2021 07:11
URI:	https://tuprints.ulb.tu-darmstadt.de/id/eprint/18600
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