On Cyclic Behaviour of Unbounded Petri Nets

J. Desel
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引用次数: 9

Abstract

Cycles in state spaces represent repetitive behaviour of system models. Runs reproducing some state have important interpretations, for example rounds in distributed algorithms. In case of unbounded system models with infinite state space, cycles cannot be found in a straightforward way. For Petri nets, transition invariants provide necessary conditions for cyclic behaviour, but not for every transition invariant there is a corresponding cycle. Another approach to deal with infinite state behaviour is to consider finite coverability graphs which generalize reachability graphs by adding the value "arbitrary many" for unbounded places. Unfortunately, a cycle in the coverability graph does not necessarily represent a cyclic behaviour. This paper combines the concepts transition invariant and coverability graph in such a way that cyclic behaviour can be found in a combined graph. This implies a way to decide whether a sequence constitutes a cycle. A finite representation of all (infinitely many) cycles is implied by a result stating that the set of cycles is semi-linear. We also discuss an application of this concept: schedulability of Petri nets, i.e., control of transition occurrences such that the controlled behaviour does not lead to arbitrary token growth on any place.
无界Petri网的循环行为
状态空间中的循环表示系统模型的重复行为。再现某些状态的运行具有重要的解释,例如分布式算法中的轮询。对于具有无限状态空间的无界系统模型,无法直接找到循环。对于Petri网,过渡不变量为循环行为提供了必要条件,但并不是每个过渡不变量都有相应的循环。另一种处理无限状态行为的方法是考虑有限可覆盖性图,该图通过在无界位置添加“任意多”值来推广可达性图。不幸的是,可覆盖性图中的循环并不一定表示循环行为。本文结合了转换不变量图和可覆盖图的概念,使得组合图具有循环行为。这意味着一种确定序列是否构成循环的方法。所有(无穷多个)循环的有限表示由一个结果暗示,该结果表明循环的集合是半线性的。我们还讨论了这个概念的一个应用:Petri网的可调度性,即对转移发生的控制,使得被控制的行为不会导致在任何地方的任意令牌增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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