eDDPC: Sample- and computationally efficient data-driven predictive control

This file contains the Matlab scripts used to generate the results of the paper "Sample- and computationally efficient data-driven predictive control", https://doi.org/10.48550/arXiv.2309.11238.

To reproduce the results of Table II, you can run the file 'comparison.m'. To run the proposed eDDPC scheme for other applications, you can use the file 'eDDPC_cond.m'

Daten und Ressourcen

Cite this as

Mohammad Alsalti, Manuel Barkey, Victor G. Lopez, Matthias A. Müller (2023). eDDPC: Sample- and computationally efficient data-driven predictive control [Data set]. LUIS. https://doi.org/10.25835/hbqz319y
Retrieved: 16:26 19 Jul 2026 (UTC)

Zusätzliche Informationen

Feld Wert
Autor Mohammad Alsalti, Manuel Barkey, Victor G. Lopez, Matthias A. Müller
Verantwortlicher Mohammad Alsalti
Zuletzt aktualisiert Dezember 6, 2023, 09:03 (UTC)
Erstellt September 22, 2023, 12:22 (UTC)
Lizenz Creative Commons Attribution 3.0
Dataset Size 823.0 KByte