The problem of unknown input observer design is considered for coupled PDE/ODE linear systems subject to unknown boundary inputs. Assuming available measurements at the boundary of the distributed domain, the synthesis of the observer is based on geometric conditions and Lyapunov methods. Numerical simulations support and validate the theoretical findings, illustrating the robust estimation performances of the proposed unknown input observer.

Unknown Input Observer design for coupled PDE/ODE linear systems / Cristofaro, A.; Ferrante, F.. - (2020), pp. 646-651. (Intervento presentato al convegno 59th IEEE Conference on Decision and Control, CDC 2020 tenutosi a South Korea) [10.1109/CDC42340.2020.9304374].

Unknown Input Observer design for coupled PDE/ODE linear systems

Cristofaro A.
;
2020

Abstract

The problem of unknown input observer design is considered for coupled PDE/ODE linear systems subject to unknown boundary inputs. Assuming available measurements at the boundary of the distributed domain, the synthesis of the observer is based on geometric conditions and Lyapunov methods. Numerical simulations support and validate the theoretical findings, illustrating the robust estimation performances of the proposed unknown input observer.
2020
59th IEEE Conference on Decision and Control, CDC 2020
Distributed parameter systems; Observer design; LMI
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Unknown Input Observer design for coupled PDE/ODE linear systems / Cristofaro, A.; Ferrante, F.. - (2020), pp. 646-651. (Intervento presentato al convegno 59th IEEE Conference on Decision and Control, CDC 2020 tenutosi a South Korea) [10.1109/CDC42340.2020.9304374].
File allegati a questo prodotto
File Dimensione Formato  
Cristofaro_postprint_Unknown_2020.pdf

accesso aperto

Note: https://ieeexplore.ieee.org/document/9304374
Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 2.98 MB
Formato Adobe PDF
2.98 MB Adobe PDF
Cristofaro_Unknown_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 7.79 MB
Formato Adobe PDF
7.79 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1493282
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact