Loading...
Loading...

Go to the content (press return)

Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach

Author
Pourasgharlafmejani, M.; Puig, V.; Ocampo-Martinez, C.A.
Type of activity
Journal article
Journal
International journal of systems science
Date of publication
2019-01-01
Volume
50
Number
3
First page
495
Last page
516
DOI
10.1080/00207721.2018.1563221
Project funding
DEOCS: Monitorización, diagnostico y control tolerante a fallos de sistemas ciberfísicos con métodos basados en datos
Repository
http://hdl.handle.net/2117/133612 Open in new window
URL
https://www.tandfonline.com/doi/abs/10.1080/00207721.2018.1563221 Open in new window
Abstract
This is an Accepted Manuscript of an article published by Taylor & Francis in “International Journal of Systems Science” on 06th January 2019, available online: https://www.tandfonline.com/doi/abs/10.1080/00207721.2018.1563221?journalCode=tsys20 This paper addresses the characterization of the minimum detectable fault (MDF) by means of residual sensitivity integrated with the set-invariance theory when using an interval observer-based approach as a Fault Detection (FD) scheme. Uncertainties ...
Citation
Pourasgharlafmejani, M.; Puig, V.; Ocampo-Martinez, C.A. Interval observer-based fault detectability analysis using mixed set-invariance theory and sensitivity analysis approach. "International journal of systems science", 1 Gener 2019, vol. 50, núm. 3, p. 495-516.
Keywords
Fault detection, bounded uncertainties, interval observer-based approach, minimum detectable fault, sensitivity analysis, set-invariance approach, zonotopes
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems

Participants