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首页> 外文期刊>IEEE transactions on industrial informatics >Automatic Inference of Finite-State Plant Models From Traces and Temporal Properties
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Automatic Inference of Finite-State Plant Models From Traces and Temporal Properties

机译：从痕迹和时间特性自动推断有限状态植物模型

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摘要

Closed-loop model checking, a formal verification technique for industrial automation systems, increases the richness of specifications to be checked and reduces the state space to be verified compared to the open-loop case. To be applied, it needs the controller and the plant formal models to be coupled. There are approaches for controller synthesis, but little has been done regarding plant model construction. While manual plant modeling is time consuming and error-prone, discretizing a simulation model of the plant leads to state excess. This paper aims to solve the problem of automatic plant model construction from existing specification, which is represented in the form of plant behavior examples, or traces, and temporal properties. The proposed method, which is based on the translation of the problem to the Boolean satisfiability problem, is evaluated and shown to be applicable on several case study plant model synthesis tasks and on randomly generated problem instances.
机译：闭环模型检查是工业自动化系统的一种正式验证技术，与开环情况相比，增加了要检查的规范的丰富性，并减少了要验证的状态空间。要应用，需要将控制器和工厂形式模型耦合起来。存在控制器综合的方法，但是关于工厂模型构建的工作很少。尽管手动工厂建模非常耗时且容易出错，但是离散化工厂的仿真模型会导致状态过剩。本文旨在从现有规范中解决工厂模型自动构建的问题，该规范以工厂行为示例，痕迹和时间特性的形式表示。该方法基于问题到布尔可满足性问题的转换，经过评估，证明该方法适用于多个案例研究工厂模型综合任务和随机生成的问题实例。

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