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- W2161179144 abstract "We investigate diagnosability of stochastic discrete-event systems where the observation of certain events is unreliable, that is, there are non-zero probabilities of the misdetection and misclassification of events based on faulty sensor readings. Such sensor unreliability is unavoidable in applications such as nuclear energy generation. We propose the notions of uA- and uAA-diagnosability for stochastic automata and demonstrate their relationship with the concepts of A- and AA-diagnosabilty defined previously. We extend the concept of the stochastic diagnoser to the unreliable observation paradigm and find conditions for uA- and uAA-diagnosability." @default.
- W2161179144 created "2016-06-24" @default.
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- W2161179144 date "2008-06-01" @default.
- W2161179144 modified "2023-09-23" @default.
- W2161179144 title "Diagnosability of stochastic discrete-event systems under unreliable observations" @default.
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- W2161179144 doi "https://doi.org/10.1109/acc.2008.4586649" @default.
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