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Marking Estimation in Labelled Petri nets by the Representative Marking Graph

机译:代表性标记图标记的Petri网标记估计

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In this paper a method to recognize the set of consistent markings in labelled Petri nets is proposed. In this method, the set of unobservable transitions are partitioned into pseudo-observable and strictly unobservable ones, and the subnet induced by the latter is acyclic. The unobservable reach of a marking can be characterized by the union of the strictly unobservable reach of several basis markings, called representative markings, in the unobservable subnet. The set of consistent markings can be characterized by a linear algebraic system based on those representative markings. Based on the representative marking graph, the current marking estimation problem for a labelled Petri net can be efficiently solved. This method does not require the assumption that the unobservable subnet is acyclic.
机译:在本文中,提出了一种方法,用于识别标记的Petri网中的一致标记的方法。在此方法中,将不可观察的转换集被划分为伪观察和严格的不可观察的转换,并且后者引起的子网是无循环的。标记的不可观察范围可调于在不可观察的子网中的几种基本标记的严格不可观察到的近似范围的联盟,称为代表性标记。该组一致标记可以通过基于这些代表性标记的线性代数系统来表征。基于代表性标记图,可以有效地解决标记的Petri网的当前标记估计问题。此方法不需要假设未接受的子网是无循环的。

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