DUHE, Jean Francois; VICTOR, Stephane; MELCHIOR, Pierre; ABDELMOUNEN, Youssef; ROUBERTIE, François

doi:10.1016/j.ifacol.2022.11.308

Laboratoire de l'intégration, du matériau au système [IMS]

VICTOR, Stephane
Laboratoire de l'intégration, du matériau au système [IMS]

MELCHIOR, Pierre

Laboratoire de l'intégration, du matériau au système [IMS]

Idioma

Article de revue

Este ítem está publicado en

IFAC-PapersOnLine. 2022-01-01, vol. 55, n° 34, p. 60-65

Resumen en inglés

Fractional derivatives are non local operators that has compacity property in terms of parameter number for modeling diffusive phenomenon with very few parameters. One of its main properties is its non-local behavior, as it can be exploited to model long-memory phenomena such as heat transfers. However, such non-locality implies a constant knowledge of the full past of the function to be differentiated. In the context of real-time system identification, this may limit the experiences as calculations become slower as time progresses. This study deals with the relationship between frequency content of a signal and its truncation error in order to obtain real-time exploitable algorithms.< Leer menos

Palabras clave

Fractional derivative

Short memory principle

LMRPEM

System identification

URI

https://oskar-bordeaux.fr/handle/20.500.12278/172639

DOI

http://dx.doi.org/10.1016/j.ifacol.2022.11.308

Centros de investigación

IMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218

Ver/Abrir

Metadatos

Compartir este ítem

Licencia de uso del documento

Truncation of fractional derivative for online system identification

Idioma

Este ítem está publicado en

Resumen en inglés

Palabras clave

URI

DOI

Centros de investigación