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Diagnosability Degree of Stochastic Discrete Event Systems

Abstract : — Diagnosability is the ability to detect a fault from partial observations collected on a system. It has been studied for numerous models of discrete event systems, but essentially from a logical perspective. This paper explores quantitative versions of the problem, to evaluate " how much " a system is (non-)diagnosable. For the diagnosable part of a system, that we characterize, we then examine the probability distribution of the detection delay. We show that the mean and the standard deviation of the detection delay can be easily evaluated.
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Contributor : Eric Fabre <>
Submitted on : Tuesday, November 28, 2017 - 6:03:27 PM
Last modification on : Thursday, January 7, 2021 - 4:31:52 PM


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  • HAL Id : hal-01651232, version 1


Hugo Bazille, Eric Fabre, Blaise Genest. Diagnosability Degree of Stochastic Discrete Event Systems. CDC 2017 - 56th IEEE Conference on Decision and Control, Dec 2017, Melbourne, Australia. pp.5726-5731. ⟨hal-01651232⟩



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