彩色GSPN模型和自动对称检测

G. Chiola, G. Franceschinis
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引用次数: 43

摘要

彩色Petri网(CPN)对于开发具有交互并发组件的非常紧凑且易于理解的系统模型非常有用。CPN模型可用于建模系统的定性分析;当还加入时序时,可以进行定量分析。不幸的是,网络的可达性图(RG)的过大可能会妨碍分析,RG可以作为位置数量和颜色域基数的函数呈指数增长。提出了一种自动利用模型中固有的对称性来减小RG大小的方法:它可以应用于称为规则网(RN)的cpn子类。提出了一些重要的例子来证明,通过彻底研究这些系统的行为,自动实现的减量与为这些系统设计的减量相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Colored GSPN models and automatic symmetry detection
Colored Petri nets (CPN) are useful for the development of very compact and easy to understand models of systems with interacting concurrent components. A CPN model can be used for a qualitative analysis of the modeled system; when timing is also added, a quantitative analysis can be done. Unfortunately, the analysis can be prevented by excessive size of the reachability graph (RG) of the net, which can grow exponentially as a function of the number of places and the cardinality of color domains. A method that automatically exploits the symmetries intrinsic in the model reducing the RG size is presented: it can be applied to a subclass of CPNs called regular nets (RN). Some nontrivial examples are presented to demonstrate that the automatically achieved reductions are comparable to those devised for these systems by thoroughly studying their behavior.<>
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