We investigate the data usage and predictive behavior of data-driven predictive control (DPC) with 1-norm regularization. Our analysis enables the offline removal of unused data and facilitates a comparison between the identified symmetric structure and data usage against prior knowledge of the true system. This comparison helps assess the suitability of the DPC scheme for effective control.
@article{arxiv.2505.22307,
title = {On data usage and predictive behavior of data-driven predictive control with 1-norm regularization},
author = {Manuel Klädtke and Moritz Schulze Darup},
journal= {arXiv preprint arXiv:2505.22307},
year = {2025}
}
Comments
This paper is a preprint of a contribution to the IEEE Control Systems Letters. 6 pages, 3 figures