Comparing detailed and abstract timed models of automated discrete manufacturing systems

Perin, Matthieu; Faure, Jean-Marc

doi:10.1109/coase.2013.6653993

Cited by 1 publication

(1 citation statement)

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“…Both the controller and the plant can be represented not only by simulation models, but also by formal models. According to [11], formal plant models are subdivided into detailed and abstract ones: while detailed models preserve the internal structure and parameters of the plant, abstract models are more simple and only convey its external behavior. Plant model construction in the present paper is based on traces showing external behavior, so the inferred models are abstract.…”

Section: B Discrete Formal Modelsmentioning

confidence: 99%

Scalable methods of discrete plant model generation for closed-loop model checking

Buzhinsky

Pakonen

Vyatkin

2017

IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society

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To facilitate correctness and safety of missioncritical automation systems, formal methods should be applied in addition to simulation and testing. One of such formal methods is model checking, which is capable of verifying complex requirements for the system's model. If both the controller and the controlled plant are formally modeled, then the variant of this technique called closed-loop model checking can be applied. Recently, a technique of automatic plant model generation has been proposed which is applicable in this scenario. This paper continues the work in this direction by presenting two plant model construction approaches which are much more scalable with respect to the previous one, and puts this work into a more practical context. The approaches are evaluated on a case study from the nuclear automation domain.

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Section: B Discrete Formal Modelsmentioning

confidence: 99%