Abstract:Online fault diagnosis techniques are a key enabler of effective failure mitigation. For real-time systems, the problem of identifying faults is aggravated by
timing imprecisions
such as varying latency between events and their observation. This paper tackles the challenge of
diagnosing faults
based on partial observations which are subject to timing imprecisions and potentially made out-of-order due to latency. In this paper, we develop a theory of
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