An Improvement of McMillan's Unfolding Algorithm
Formal Methods in System Design
A probabilistic analysis of diagnosability in discrete event systems
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Scalable diagnosability checking of event-driven systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Formal verification of diagnosability via symbolic model checking
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
What topology tells us about diagnosability in partial order semantics
Discrete Event Dynamic Systems
Optimal sensor selection for ensuring diagnosability in labeled Petri nets
Automatica (Journal of IFAC)
Hi-index | 0.00 |
Complex systems increasingly require safety and robustness with regards to 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.