Reliable Diagnosability for Decentralized Diagnosis of Discrete Event Systems with Single-Level Inference
Takumi Hamada, Shigemasa Takai · 2022 American Control Conference (ACC) · 2022
We consider a reliable decentralized diagnosis problem for discrete event systems in the inference-based framework. This problem requires us to synthesize local diagnosers such that the occurrence of any failure string is correctly detected within a finite number of steps, even if local diagnosis decisions of some local diagnosers are not available for making the global diagnosis decision. In the case of single-level inference, we introduce a notion of reliable 1-inference-diagnosability and show that reliable 1-inference-diagnosability is a necessary and sufficient condition for the existence of a solution to the reliable decentralized diagnosis problem.