Schmitt, Thomas ; Engel, Jens ; Hoffmann, Matthias ; Rodemann, Tobias (2021)
PARODIS: One MPC framework to control them all. Almost.
2021 IEEE Conference on Control Technology and Applications (CCTA). San Diego, Calfiornia (8.8. - 11.8.2021)
doi: 10.26083/tuprints-00018600
Conference or Workshop Item, Secondary publication, Preprint
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| Item Type: | Conference or Workshop Item |
|---|---|
| Type of entry: | Secondary publication |
| Title: | PARODIS: One MPC framework to control them all. Almost. |
| Language: | English |
| Date: | 15 June 2021 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2021 |
| Publisher: | IEEE |
| 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 |
| Corresponding Links: | |
| 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: | ?? ddc_dnb_620 ?? |
| Divisions: | ?? fb18_iat~rtr ?? |
| Date Deposited: | 15 Jun 2021 07:10 |
| Last Modified: | 13 Feb 2024 14:47 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/18600 |
| PPN: | 481520309 |
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