Abstract
We generalize a recently introduced data-driven approach for model-reference control design with closed-loop stability guarantees to the case of single-input single-output system s with inaccessible state. By considering a dynamic controller with fixed structure and leveraging a data-based description of the closed-loop dynamics, we propose a two-stage strategy for the optimization of the controller's parameters to match the desired closed-loop behavior. By means of a benchmark simulation example, we show the potential of the proposed approach and the impact of a simple strategy to handle noisy measurements.
| Original language | English |
|---|---|
| Article number | 10149088 |
| Pages (from-to) | 2431-2436 |
| Number of pages | 6 |
| Journal | IEEE Control Systems Letters |
| Volume | 7 |
| DOIs | |
| Publication status | Published - 2023 |
Funding
This work was supported in part by the Italian Ministry of University and Research through the PRIN 17 Project Data-Driven Learning of Constrained Control Systems, under Contract 2017J89ARP.
| Funders | Funder number |
|---|---|
| Ministero dell’Istruzione, dell’Università e della Ricerca | 2017J89ARP |
Keywords
- closed-loop stability
- Data-driven control
- output-feedback control
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