State Observer for DES Under Partial ...
Document type :
Article dans une revue scientifique
Title :
State Observer for DES Under Partial Observation with Time Petri Nets
Author(s) :
Ghazel, Mohamed [Auteur correspondant]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/ESTAS]
Université de Lille, Sciences et Technologies
Toguyeni, Armand [Auteur]
Systèmes Tolérants aux Fautes [STF]
Yim, Pascal [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Évaluation des Systèmes de Transports Automatisés et de leur Sécurité [IFSTTAR/ESTAS]
Université de Lille, Sciences et Technologies
Toguyeni, Armand [Auteur]
Systèmes Tolérants aux Fautes [STF]
Yim, Pascal [Auteur]
Laboratoire d'Automatique, Génie Informatique et Signal [LAGIS]
Journal title :
Discrete Event Dynamic Systems
Pages :
137-165
Publisher :
Springer Verlag
Publication date :
2009-06-01
ISSN :
0924-6703
HAL domain(s) :
Informatique [cs]/Automatique
English abstract : [en]
This paper deals with a state observation approach for Discrete Event Systems with a known behavior. The system behavior is modeled using a Time Petri Net model. The proposed approach exploits temporal constraints to assess ...
Show more >This paper deals with a state observation approach for Discrete Event Systems with a known behavior. The system behavior is modeled using a Time Petri Net model. The proposed approach exploits temporal constraints to assess the system state and therefore detect and determine faults given partial observability of events. The goal here is to track the system state and to identify the event scenarios which occur on the system. Our approach uses the class graph of the Time Petri Net which models the complete system behavior to develop a state observer which is a base to perform online fault detection and diagnosing.Show less >
Show more >This paper deals with a state observation approach for Discrete Event Systems with a known behavior. The system behavior is modeled using a Time Petri Net model. The proposed approach exploits temporal constraints to assess the system state and therefore detect and determine faults given partial observability of events. The goal here is to track the system state and to identify the event scenarios which occur on the system. Our approach uses the class graph of the Time Petri Net which models the complete system behavior to develop a state observer which is a base to perform online fault detection and diagnosing.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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