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Set-membership parity space hybrid system diagnosis

Author
Vento, J.I.; Blesa, J.; Puig, V.; Sarrate, R.
Type of activity
Journal article
Journal
International journal of systems science
Date of publication
2015-04-04
Volume
46
Number
5
First page
790
Last page
807
DOI
https://doi.org/10.1080/00207721.2014.977978 Open in new window
Project funding
Analysis and Design of distributed optimal control strategies applied to large-scale WATer systems MANagement (WATMAN)
Efficient Integrated Real-time Monitoring and Control of Drinking Water Networks
SHERECS (DPI2011-26243)
Repository
http://hdl.handle.net/2117/25102 Open in new window
Abstract
In this paper, diagnosis for hybrid systems using a parity space approach that considers model uncertainty is proposed. The hybrid diagnoser is composed of modules which carry out the mode recognition and diagnosis tasks interacting each other, since the diagnosis module adapts accordingly to the current hybrid system mode. Moreover, the methodology takes into account the unknown but bounded uncertainty in parameters and additive errors (including noise and discretisation errors) using a passive...
Citation
Vento, J. [et al.]. Set-membership parity space hybrid system diagnosis. "International journal of systems science", 07 Novembre 2014, p. 1-18.
Keywords
Observability, diagnoser, fault detection and isolation, hybrid systems, mode recognition, parameter uncertainty
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

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