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EnglishIn this work, we propose a kernel-based robust nonparametric approach to direct data-driven control of linear systems, in the presence of bounded noise affecting the measurements data. First, we formulate the problem of designing a controller in order to match the behaviour of a given reference model. Then, we design the controller by applying previous results by some of the authors in the field of kernel-based nonparametric error-in-variables identification. Finally, we show the effectiveness of the presented technique by means of two simulation examples.
| Titolo: | A kernel-based nonparametric approach to direct data-driven control of LTI systems |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Abstract: | In this work, we propose a kernel-based robust nonparametric approach to direct data-driven contr...ol of linear systems, in the presence of bounded noise affecting the measurements data. First, we formulate the problem of designing a controller in order to match the behaviour of a given reference model. Then, we design the controller by applying previous results by some of the authors in the field of kernel-based nonparametric error-in-variables identification. Finally, we show the effectiveness of the presented technique by means of two simulation examples. |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| A_kernel_based_nonparametric_approach_to_DDDC_of_LTI_systems.pdf | Main article | 1. Pre-print | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2713225
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