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Model-Checking Based on Fluid Petri Nets for the Temperature Control System of the ICARO Co-generative Plant

机译:基于流体Petri网的ICARO热电厂温度控制系统模型检验

摘要

The modeling and analysis of hybrid systems is a recent and challenging research area which is actually dominated by two main lines: a functional analysis based on the description of the system in terms of discrete state (hybrid) automata (whose goal is to ascertain for conformity and reachability properties), and a stochastic analysis (whose aim is to provide performance and dependability measures). This paper investigates a unifying view between formal methods and stochastic methods by proposing an analysis methodology of hybrid systems based on Fluid Petri Nets (FPN). It is shown that the same FPN model can be fed to a functional analyser for model checking as well as to a stochastic analyser for performance evaluation. We illustrate our approach and show its usefulness by applying it to a “real world” hybrid system: the temperature control system of a co-generative plant.
机译:混合系统的建模和分析是一个新近且具有挑战性的研究领域,实际上它由两个主线主导:基于离散状态(混合)自动机(其目标是确定一致性)的基于系统描述的功能分析和可达性属性)和随机分析(其目的是提供性能和可靠性指标)。通过提出一种基于流体Petri网(FPN)的混合系统分析方法,本文研究了形式方法与随机方法之间的统一观点。结果表明,相同的FPN模型可以馈送到功能分析器中进行模型检查,也可以馈送到随机分析器中进行性能评估。我们通过将这种方法应用于“现实世界”混合系统(热电联产工厂的温度控制系统)来说明我们的方法并显示其实用性。

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