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Petri nets and integrality relaxations: A view of continuous Petri net models

机译:Petri网和完整性松弛:连续Petri网模型的观点

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Petri nets are formalisms for the modeling of discrete event dynamic systems (DEDS). The integrality of the marking and of the transitions firing counters is a clear reflection of this. To reduce the computational complexity of the analysis or synthesis of Petri nets, two relaxations have been introduced at two different levels: (1) at net level, leading to continuous net systems; (2) at state equation level, which has allowed to obtain systems of linear inequalities, or linear programming problems. These relaxations are mainly related to the fractional firing of transitions, which implies the existence of non-integer markings. We give an overview of this emerging field. It is focused on the relationship between the properties of (discrete) PNs and the corresponding properties of their continuous approximation. Through the interleaving of qualitative and quantitative techniques, surprising results can be obtained from the analysis of these continuous systems. For these approximations to be "acceptable", it is necessary that large markings (populations) exist. It can also be seen, however, that not every populated net system can be continuized. In fact, there exist systems with "large" populations for which continuation does not make sense. The possibility of expressing nonlinear behaviors may lead to deterministic continuous differential systems with complex behaviors.
机译:Petri网是用于离散事件动态系统(DEDS)建模的形式主义。标记和转换点火计数器的整体性清楚地反映了这一点。为了减少Petri网的分析或综合的计算复杂性,在两个不同的层次上引入了两种松弛:(1)在网络层次上,导致连续的网络系统; (2)在状态方程级别,该状态方程允许获得线性不等式或线性规划问题。这些松弛主要与过渡的分数触发有关,这意味着存在非整数标记。我们对这个新兴领域进行了概述。它着重于(离散)PN的特性与其连续逼近的相应特性之间的关系。通过定性和定量技术的交织,可以通过对这些连续系统的分析获得令人惊讶的结果。为了使这些近似值是“可接受的”,必须存在较大的标记(填充物)。但是,也可以看出,并不是每个填充的网络系统都可以连续进行。实际上,存在具有“大量”人口的系统,对于这些系统而言,连续性是没有意义的。表达非线性行为的可能性可能导致具有复杂行为的确定性连续微分系统。

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