On Data Usage and Predictive Behavior of Data-Driven Predictive Control With 1-Norm Regularization
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.
Authors
- Manuel Klädtke (ORCID: https://orcid.org/0000-0001-8260-5756)
- Moritz Schulze Darup (ORCID: https://orcid.org/0000-0002-1868-4098)
Institutions
- TU Dortmund University (DE)
Publication Details
- Journal
- IEEE Control Systems Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/lcsys.2025.3575436
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00