On data usage and predictive behavior of data-driven predictive control with 1-norm regularization
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866912471109861376 |
|---|---|
| author | Klädtke, Manuel Darup, Moritz Schulze |
| author_facet | Klädtke, Manuel Darup, Moritz Schulze |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_22307 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | On data usage and predictive behavior of data-driven predictive control with 1-norm regularization Klädtke, Manuel Darup, Moritz Schulze Systems and Control Optimization and Control 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. |
| title | On data usage and predictive behavior of data-driven predictive control with 1-norm regularization |
| topic | Systems and Control Optimization and Control |
| url | https://arxiv.org/abs/2505.22307 |