Communication Dans Un Congrès Année : 2024

Learning normal and delayed behavior of max-plus linear systems from input and output event data

Résumé

In this paper, we introduce the problem of learning max-plus linear models from event data available through unlabeled logs. We present a method for obtaining these models when the logs contain input and output event dates generated by a system in both normal conditions and abnormal conditions caused by failures. The properties of the method are presented, as well as results from a simulated example.

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hal-04718040 , version 1 (02-10-2024)

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Ibis Velasquez, Yannick Pencolé, Euriell Le Corronc. Learning normal and delayed behavior of max-plus linear systems from input and output event data. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Aug 2024, Bari, Italy. ⟨10.1109/CASE59546.2024.10711569⟩. ⟨hal-04718040⟩
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