Abstract
Monitoring real-time concurrent systems is a challenging task. In this paper we formulate (model-based) supervision by means of hidden state history reconstruction, from event (e.g. alarm) observations. We follow a so-called true concurrency approach using time Petri nets: the model defines explicitly the causal and concurrency relations between the observable events, produced by the system under supervision on different points of observation, and constrained by time aspects.
| Translated title of the contribution | Temporal diagnosis of distributed systems using extensions of time Petri nets |
|---|---|
| Original language | French |
| Pages (from-to) | 351-365 |
| Number of pages | 15 |
| Journal | Journal Europeen des Systemes Automatises |
| Volume | 39 |
| Issue number | 1-3 |
| DOIs | |
| Publication status | Published - 1 Jan 2005 |
| Externally published | Yes |