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    Minimal Diagnosis and Diagnosability of Discrete-Event Systems Modeled by Automata by Xiangfu Zhao, Gianfranco Lamperti, Dantong Ouyang, Xiangrong Tong

    Published 2020-01-01
    “…In the last several decades, the model-based diagnosis of discrete-event systems (DESs) has increasingly become an active research topic in both control engineering and artificial intelligence. However, in contrast with the widely applied minimal diagnosis of static systems, in most approaches to the diagnosis of DESs, all possible candidate diagnoses are computed, including nonminimal candidates, which may cause intractable complexity when the number of nonminimal diagnoses is very large. …”
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