Fault Diagnosis with Static and Dynamic Observers
Fundamenta Informaticae - Application of Concurrency to System Design, the Sixth Special Issue
Dynamic sensor activation for event diagnosis
ACC'09 Proceedings of the 2009 conference on American Control Conference
The complexity of codiagnosability for discrete event and timed systems
ATVA'10 Proceedings of the 8th international conference on Automated technology for verification and analysis
On K-diagnosability of Petri nets via integer linear programming
Automatica (Journal of IFAC)
Fault Diagnosis with Static and Dynamic Observers
Fundamenta Informaticae - Application of Concurrency to System Design, the Sixth Special Issue
Predictability of event occurrences in timed systems
FORMATS'13 Proceedings of the 11th international conference on Formal Modeling and Analysis of Timed Systems
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We study sensor minimization problems in the context of fault diagnosis. Fault diagnosis consists of synthesizing a diagnoser that observes a given plant and identifies faults in the plant as soon as possible after their occurrence. Existing literature on this problem has considered the case of static observers, where the set of observable events does not change during execution of the system. In this paper, we consider static as well as dynamic observers, where the observer can switch sensors on or off, thus dynamically changing the set of events it wishes to observe.