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An incremental hybrid system diagnoser automaton enhanced by discernibility properties

Autor
Vento, J.; Travé-Massuyès, L.; Puig, V.; Sarrate, R.
Tipus d'activitat
Article en revista
Revista
IEEE Transactions on Systems, Man, and Cybernetics. Systems
Data de publicació
2014-12-18
Volum
45
Número
5
Pàgina inicial
788
Pàgina final
804
DOI
https://doi.org/10.1109/TSMC.2014.2375158 Obrir en finestra nova
Projecte finançador
Análisis y diseño de estrategias de control óptimo distribuido aplicadas a la gestión de sistemas de agua de gran escala (WATMAN)
SHERECS (DPI2011-26243)
Repositori
http://hdl.handle.net/2117/26539 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6991612 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
Discrete event systems, fault diagnosis, hybrid automaton (HA), hybrid systems, sewer systems.
Grup de recerca
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Sistemes Avançats de Control
SIC - Sistemes Intel·ligents de Control

Participants