Diagnosability verication with Petri net unfoldings
Abstract
Complex systems increasingly require safety and robustness w.r.t. faults occurrences, and diagnosability is a key property to ensure this at design stage. This paper demonstrates how Petri net unfoldings, which have been proven to elevate the state explosion problem, can be applied to verify diagnosability by adapting the twin plant method.
Domains
Artificial Intelligence [cs.AI]
Origin : Files produced by the author(s)
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