Title
State Estimation and Fault Diagnosis of Labeled Time Petri Net Systems With Unobservable Transitions
Abstract
In this paper, we present a procedure for the state estimation and fault diagnosis of a labeled Time Petri net system. Starting from the State Class Graph defined by Berthomieu and Diaz, we introduce a new graph called Modified State Class Graph (MSCG) that allows an exhaustive representation of the evolution of the timed system. Then, we present a procedure that, given a timed observation, i.e., a sequence of labels with their firing time instants, and a time instant τ, allows one to determine in which states the system can be at time τ by using the MSCG and solving a certain number of linear programming problems. Finally, we present a procedure to perform fault diagnosis using the MSCG.
Year
DOI
Venue
2015
10.1109/TAC.2014.2363916
Automatic Control, IEEE Transactions  
Keywords
Field
DocType
Fault diagnosis,Petri nets,Labeling,Observers,Clocks
Graph,Petri net,Control theory,Computer science,Linear programming,Unobservable
Journal
Volume
Issue
ISSN
60
4
0018-9286
Citations 
PageRank 
References 
26
1.00
32
Authors
3
Name
Order
Citations
PageRank
Francesco Basile116111.25
Maria Paola Cabasino231823.10
Carla Seatzu370067.51