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Diagnosability Analysis of Input/Output Discrete-Event Systems Using Model-Checking

机译:使用模型检查输入/输出离散事件系统的诊断性分析

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This paper deals with analysis of diagnosability and K-diagnosability of dynamic systems in a model-checking framework. Dynamic systems are abstracted here as Discrete-Event Systems (DESs) and modeled by Input/Output Transition Systems (IOTSs). We reformulate diagnosability issues using CTL formula while considering extended definitions of diagnosability. Moreover, we introduce a formal definition of K-diagnosability in model-checking framework and we discuss the problem of K_(min)-diagnosability (the minimal value of K ensuring diagnosability). We also show how diagnosability analysis in model-checking framework can be extended in order to deal with repeated/intermittent failures. In this regard, the case of [1-∞]-diagnosability analysis is investigated. Finally, some of these theoretical contributions are illustrated through a benchmark.
机译:本文涉及分析模型检查框架中动态系统的诊断性和k诊断性。动态系统在此作为离散事件系统(DESS)抽象,并由输入/输出转换系统(IOTS)建模。考虑到诊断性扩展定义时,我们使用CTL公式重新格式化诊断问题。此外,我们在模型检查框架中介绍了K诊断性的正式定义,我们讨论了K_(min)-diagnosability的问题(​​最小值的K确保诊断)。我们还展示了如何扩展模型检查框架中的诊断性分析,以便处理重复/间歇性故障。在这方面,研究了[1-α] -DiagnoSability分析的情况。最后,通过基准说明了这些理论贡献中的一些。

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