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On fluidization of discrete event models: observation and control of continuous Petri nets

机译:关于离散事件模型的流化:连续Petri网的观察和控制

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As a preliminary overview, this work provides first a broad tutorial on the fluidization of discrete event dynamic models, an efficient technique for dealing with the classical state explosion problem. Even if named as continuous or fluid, the relaxed models obtained are frequently hybrid in a technical sense. Thus, there is plenty of room for using discrete, hybrid and continuous model techniques for logical verification, performance evaluation and control studies. Moreover, the possibilities for transferring concepts and techniques from one modeling paradigm to others are very significant, so there is much space for synergy. As a central modeling paradigm for parallel and synchronized discrete event systems, Petri nets (PNs) are then considered in much more detail. In this sense, this paper is somewhat complementary to David and Alla (2010). Our presentation of fluid views or approximations of PNs has sometimes a flavor of a survey, but also introduces some new ideas or techniques. Among the aspects that distinguish the adopted approach are: the focus on the relationships between discrete and continuous PN models, both for untimed, i.e., fully non-deterministic abstractions, and timed versions; the use of structure theory of (discrete) PNs, algebraic and graph based concepts and results; and the bridge to Automatic Control Theory. After discussing observability and controllability issues, the most technical part in this work, the paper concludes with some remarks and possible directions for future research.
机译:作为初步概述,这项工作首先提供了有关离散事件动态模型流化的广泛教程,这是一种处理经典状态爆炸问题的有效技术。即使命名为连续模型或流体模型,获得的松弛模型在技术上也常常是混合的。因此,有足够的空间使用离散,混合和连续模型技术进行逻辑验证,性能评估和控制研究。此外,将概念和技术从一种建模范式转移到其他建模范式的可能性非常重大,因此存在很多协同作用的空间。作为并行和同步离散事件系统的中央建模范例,Petri网(PNs)随后会被更详细地考虑。从这个意义上讲,本文是对David and Alla(2010)的补充。我们对PN的流动视图或近似的表示有时具有调查的味道,但也引入了一些新的思想或技术。区分采用的方法的方面包括:集中于离散和连续PN模型之间的关系,这两种模型都是针对非定时的,即完全不确定的抽象和定时版本; (离散)PN的结构理论,基于代数和图的概念和结果的使用;以及通往自动控制理论的桥梁。在讨论了可观察性和可控性问题(这项工作中最技术性的部分)后,本文总结了一些意见和未来研究的可能方向。

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