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EnglishThis paper investigates the filter design problem for linear time-invariant dynamic systems when no mathematical model is available, but a set of initial experiments can be performed where also the variable to be estimated is measured. Two-step and direct approaches are considered within both a stochastic and a deterministic framework and optimal or suboptimal solutions are reviewed.
From Model-Based to Data-Driven Filter Design / Milanese, M.; Ruiz Palacios, F.O.; Taragna, M.. - STAMPA. - (2013), pp. 273-285.
| Titolo: | From Model-Based to Data-Driven Filter Design | |
| Autori: | ||
| Data di pubblicazione: | 2013 | |
| Titolo del libro: | Bounded Noises in Physics, Biology, and Engineering. Modeling and Simulation in Science, Engineering and Technology | |
| Serie: | ||
| Abstract: | This paper investigates the filter design problem for linear time-invariant dynamic systems when ...no mathematical model is available, but a set of initial experiments can be performed where also the variable to be estimated is measured. Two-step and direct approaches are considered within both a stochastic and a deterministic framework and optimal or suboptimal solutions are reviewed. | |
| ISBN: | 978-1-4614-7384-8 | |
| Appare nelle tipologie: | 2.1 Contributo in volume (Capitolo o Saggio) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| PDF_editoriale.pdf | From Model-Based to Data-Driven Filter Design (Editorial version) | 2. Post-print / Author's Accepted Manuscript | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2518614
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