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Identification and fault diagnosis for LPV uncertain systems

Author
Blesa, J.; Puig, V.; Saludes, J.
Type of activity
Presentation of work at congresses
Name of edition
50th IEEE Conference on Decision and Control and European Control Conference
Date of publication
2011
Presentation's date
2011-12-13
Book of congress proceedings
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference
First page
3056
Last page
3061
Publisher
IEEE
DOI
https://doi.org/10.1109/CDC.2011.6160604 Open in new window
Repository
http://hdl.handle.net/2117/15631 Open in new window
Abstract
In this paper, identification and fault diagnosis methods for uncertain Multiple Input Multiple Output (MIMO) Linear Parameters Varying (LPV) models is presented. The fault detection methodology is based on checking if measurements are inside the prediction bounds provided by a MIMO LPV model identified using real data and the parity equations approach. The proposed approach takes into account existing coupling between the different measured outputs. Modeling and prediction uncertainty bounds ar...
Citation
Blesa, J.; Puig, V.; Saludes, J. Identification and fault diagnosis for LPV uncertain systems. A: IEEE Conference on Decision and Control and European Control Conference. "Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference". Orlando, FL: IEEE, 2011, p. 3056-3061.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants