Diagnosis on a sliding window for partially observable Petri nets
In this paper, we propose an algebraic approach to investigate the diagnosis of partially observable labeled Petri nets based on state estimation on a sliding window of a predefined length . Given an observation, the resulting diagnosis state can be computed while solving integer linear programming problems with a reduced subset of basis markings. The proposed approach consists in exploiting a subset of observations at each estimation step, which provides a partial diagnosis relevant to the current...