Name
Title | ||
|---|---|---|
Data-Driven Control Design In The Loewner Framework: Dealing With Stability And Noise |
Abstract | ||
|---|---|---|
The L-DDC (Loewner Data Driven Control) algorithm is a data-driven controller design method based on frequency-domain input-output data. The identification of the plant is skipped and the controller is designed directly from the measurements using the Loewner approach, known for model approximation and reduction. However, in the L-DDC method, the identified controller is not guaranteed to be stable and the effect of noise on the identified controller is unknown. In this article, we ensure the stability of the controller and propose a solution to deal with noisy data. The method is validated on a numerical example. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/ECC.2018.8550216 | 2018 EUROPEAN CONTROL CONFERENCE (ECC) |
Field | DocType | Citations |
Frequency domain,Data modeling,Approximation algorithm,Noisy data,Control theory,Data-driven,Noise measurement,Computer science,Control theory,Interpolation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pauline Kergus | 1 | 0 | 0.34 |
| Simone Formentin | 2 | 127 | 29.41 |
| Charles Poussot-Vassal | 3 | 25 | 13.45 |
| Fabrice Demourant | 4 | 5 | 3.61 |