Abstract
We discuss the problem of event diagnosis in partially observed discrete event systems. The objective is to infer the past occurrence, if any, of an unobservable event of interest based on the observed system behavior and the complete model of the system. Event diagnosis is performed by diagnosers that are synthesized from the system model and that observe the system behavior at run-time. Diagnosability analysis is the off-line task of determining which events of interest can be diagnosed at run-time by diagnosers.
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© 2013 Springer-Verlag London
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Lafortune, S. (2013). Diagnosis of Discrete Event Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_56-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_56-1
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Publisher Name: Springer, London
Online ISBN: 978-1-4471-5102-9
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