Archivio Istituzionale della RicercaThis 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, Mario; RUIZ PALACIOS, FREDY ORLANDO; Taragna, Michele (MODELING AND SIMULATION IN SCIENCE, ENGINEERING AND TECHNOLOGY). - In: Bounded Noises in Physics, Biology, and Engineering. Modeling and Simulation in Science, Engineering and Technology / d'Onofrio A.; ed.. - STAMPA. - Boston : Birkhäuser, 2013. - ISBN 978-1-4614-7384-8. - pp. 273-285 [10.1007/978-1-4614-7385-5_16]
From Model-Based to Data-Driven Filter Design
MILANESE, Mario;RUIZ PALACIOS, FREDY ORLANDO;TARAGNA, MICHELE
2013
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.
| File | Dimensione | Formato | |
|---|---|---|---|
|
PDF_editoriale.pdf
non disponibili
Descrizione: From Model-Based to Data-Driven Filter Design (Editorial version)
Tipologia:
2. Post-print / Author's Accepted Manuscript
Licenza:
Non Pubblico - Accesso privato/ristretto
Dimensione
1.76 MB
Formato
Adobe PDF
|
1.76 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11583/2518614
Attenzione
Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo