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'

Data and Resources

Cite this as

Alsalti, Mohammad (2023). Dataset: eDDPC: Sample- and computationally efficient data-driven predictive control. https://doi.org/10.25835/hbqz319y

DOI retrieved: December 6, 2023

Additional Info

Field Value
Imported on November 28, 2024
Last update November 28, 2024
License CC-BY-3.0
Source https://data.uni-hannover.de/dataset/eddpc
Author Alsalti, Mohammad
Given Name Mohammad
Family Name Alsalti
Maintainer Mohammad Alsalti
Source Creation 22 September, 2023, 12:22 PM (UTC+0000)
Source Modified 06 December, 2023, 09:03 AM (UTC+0000)