1997
DOI: 10.1016/s0278-6125(97)88886-3
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Petri net extensions for the development of MIMO net models of automated manufacturing systems

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Cited by 20 publications
(5 citation statements)
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“…In this section, we will analyze the diagnosability of the LC model while considering various values of n. Here, we will consider two classes of faults: 5 }, we consider all the faults t i,5 in each track as belonging to the same class. Recall that such faults express the fact that trains can enter the crossing zone while the barriers are not ensured to be down.…”
Section: Comparative Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In this section, we will analyze the diagnosability of the LC model while considering various values of n. Here, we will consider two classes of faults: 5 }, we consider all the faults t i,5 in each track as belonging to the same class. Recall that such faults express the fact that trains can enter the crossing zone while the barriers are not ensured to be down.…”
Section: Comparative Analysismentioning
confidence: 99%
“…In order to overcome this problem, some works turn to using Petri nets (PNs) [4][5][6][7][8][9][10][11][12][13][14][15][16][17], which offer powerful expressiveness and compact representation. In [10], the authors develop the basis reachability graph (BRG) to discuss diagnosability of bounded LPNs.…”
mentioning
confidence: 99%
“…Some examples of this extension and adaptation can be found in [23,24] to model manufacturing control software systems. …”
Section: Related Workmentioning
confidence: 99%
“…Many extensions to Petri nets are suggested to consider issues specific to the problems on hand. Hierarchical timed extended Petri nets (H-EPNs), a form of extended Petri net, allow the development of structured MIMO subnets to model complex system functionalities [9] . A class of modelling tools called augmented timed Petri nets (ATPNs) has been introduced for the modelling and analysis of robotic assembly systems with breakdown [10] .…”
Section: Petri Nets In Modelling and Simulationmentioning
confidence: 99%