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An incremental hybrid system diagnoser automaton enhanced by discernibility properties

Author
Vento, J.I.; Travé-Massuyès, L.; Puig, V.; Sarrate, R.
Type of activity
Journal article
Journal
IEEE Transactions on Systems, Man, and Cybernetics. Systems
Date of publication
2014-12-18
Volume
45
Number
5
First page
788
Last page
804
DOI
https://doi.org/10.1109/TSMC.2014.2375158 Open in new window
Project funding
Analysis and Design of distributed optimal control strategies applied to large-scale WATer systems MANagement (WATMAN)
SHERECS (DPI2011-26243)
Repository
http://hdl.handle.net/2117/26539 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6991612 Open in new window
Abstract
This paper proposes a method to track the system mode and diagnose a hybrid system without building an entire diagnoser off-line. The method is supported by a hybrid automaton (HA) model that represents the hybrid system continuous and discrete behavioral dynamics. This model is built on request through parallel composition of the component HA models. Diagnosis is performed by interpreting the events and measurements issued by the physical system directly on the HA model. This interpretation all...
Citation
Vento, J. [et al.]. An incremental hybrid system diagnoser automaton enhanced by discernibility properties. "IEEE Transactions on Systems, Man, and Cybernetics. Systems", 18 Desembre 2014, vol. PP, núm. 99.
Keywords
Discrete event systems, fault diagnosis, hybrid automaton (HA), hybrid systems, sewer systems.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants