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Real time identification of Time Petri net faulty models

机译:实时Petri网故障模型的实时识别

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This paper considers the problem of the identification of a faulty model for timed discrete event systems when the nominal model is known and a set of faulty observed timed sequences is given. The faulty behavior is modeled by adding fault transitions. The approach works with Time Petri net models and is based on the formulation of a Mixed-Integer Linear Programming Problem.
机译:当标称模型是已知的并且给出了一组错误的观察到的定时序列时,本文考虑了定时离散事件系统的故障模型的识别问题。通过添加故障转移对故障行为进行建模。该方法与时间Petri网模型一起使用,并且基于混合整数线性规划问题的表述。

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