Robust FDI/FTC using Set-membership Methods and Application to Real Case Studies
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/6444
Tipus de documentText en actes de congrés
Data publicació2009-11-19
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
:
Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
This paper reviews the use of set-membership methods in robust fault detection and isolation
(FDI) and tolerant control (FTC). Set-membership methods use a deterministic unknown-but-bounded
description of noise and parametric uncertainty (interval models). These methods aims to check the
consistency between observed and predicted behavior by using simple sets to approximate the set of
possible behaviors (in parameter or state space). When an inconsistency is detected a fault can be
indicated, otherwise nothing can be stated. The same principle can be used to identify interval models for
fault detection and to develop methods for fault tolerance evaluation. Finally, some real application of
these methods will end the paper exemplifying the success of these methods in FDI/FTC.
CitacióPuig, V. Robust FDI/FTC using Set-membership Methods and Application to Real Case Studies. A: 7th Workshop on Advanced Control and Diagnosis. "7th Workshop on Advanced Control and Diagnosis". Zielona Góra: 2009, p. 1-12.
Versió de l'editorhttp://www.issi.uz.zgora.pl
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Puig_title.pdf | Acta de congrés | 396,8Kb | Visualitza/Obre |