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- W2620961373 abstract "Petri nets have proven to be a valuable model for discrete event dynamic systems, especially automated manufacturing systems. To model uncertainty within this representation approach, stochastic Petri nets have been developed. They suffer, however, from dimensionality explosion when it is attempted to model large real-world systems. There have been approaches based on the equivalent Markov chain, which is either solved through aggregation or through its singular perturbation treatment a reduced net is produced. We propose a method here to reduce directly the stochastic Petri net" @default.
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- W2620961373 date "1995-07-01" @default.
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- W2620961373 title "Issues of Model Reduction in Discrete Event Dynamic Systems" @default.
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- W2620961373 doi "https://doi.org/10.1016/s1474-6670(17)51526-8" @default.
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