1993
DOI: 10.1007/978-1-4615-3126-5
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Petri Net Synthesis for Discrete Event Control of Manufacturing Systems

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Cited by 544 publications
(193 citation statements)
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“…Many system engineering approaches include a top-down modeling of the planned system [21], [22], which usually means enriching a model with more and more details. Software tools allow hierarchical refinements and performance evaluations of each refined model, but usually only the most refined model available is considered further.…”
Section: Towards Accuracy-adaptive Simulationmentioning
confidence: 99%
“…Many system engineering approaches include a top-down modeling of the planned system [21], [22], which usually means enriching a model with more and more details. Software tools allow hierarchical refinements and performance evaluations of each refined model, but usually only the most refined model available is considered further.…”
Section: Towards Accuracy-adaptive Simulationmentioning
confidence: 99%
“…To handle these timing related issues, the author adds a dispatcher to the existing supervisor to solve the problems that could occur when event ordering cannot be ignored. The model is implemented based on Petri Nets [16,33] and an algorithm to translate the Petri Net implementation into computer language is provided.…”
Section: Related Workmentioning
confidence: 99%
“…If this PN is gradually built according to the hybrid synthesis proposed in (Zhou and DiCesare, 1993), the user can take advantage of the editing facilities provided by PN Toolbox, in order to assign different colors to the PN elements added in different steps of the bottom-up design (as shown in fig. 1).…”
Section: Fig 3 Sketch Of the Fms Used In Examplementioning
confidence: 99%
“…A wellknown trend in approaching FMSs relies on Petri-net (PN) models (see, for instance, (Desrochers and AlJaar, 1993; Lewis et al, 1988;Lewis et al, 1995;Zhou and DiCesare, 1993)), and the organization of computer experiments for laboratory classes requires specific software tools to deal with the complexity of analysis and design problems. However, despite the diversity of PN simulators developed by many research groups (see, for instance, (Feldbrugge, 1993) and the brief list given in (Pastravanu, 1997, pp.…”
Section: Introductionmentioning
confidence: 99%