Modélisation et simulation de systèmes critiquesRisques et systèmes industriels et IA (RSIIA) (MRI)
Modeling and Simulation of Critical Systems
Séquencement
Learning objectives
This module addresses simulation activities essential to the design of safe operating systems such as modeling a system and reasoning on a model.
Prerequisites
| Module | Teaching unit | Semester |
|---|---|---|
| Statistics and Random Processes | Mathematics and Computer Science 5 | S5 |
| Methods and Tools for Reliability | Engineering Sciences 6 | S6 |
| Reliability, Maintainability, Availability, Safety (FMDS) | Engineering Sciences 8 | S8 |
| Cindynics Project | Engineering Sciences 8 | S8 |
Program
This module addresses the simulation activities essential to the design of safe systems. Petri's networks make it possible to qualitatively model a system and visualize behaviours involving parallelism, synchronization and sharing of resources.
The theoretical results that concern them are abundant; the properties of these networks are widely used for the modelling of flows (data, matter, energy) and activities (scheduling of tasks, production management, ...).
Module layout: Presentation/generality and challenges Reminders of statistics and generalities on petri networks, simulation Advanced level on Petri networks, predicate and stochastic aspect. Crossing sequence analysis Formal analysis of Petri's networks by enumeration, Formal analysis of Petri networks by reduction, Formal analysis of Petri's networks by structural analysis, Draft application
Assessment
Individual project.
References
David, René; Alla, Hassane Lotfi, "From Grafcet to Petri Networks", Hermès
Baynat, Bruno, "Theory of queues: from Markov chains to product-shaped networks", Hermès
Proth, Jean-Marie; Xie, Xiaolan, "The Petri Networks for the Design and Management of Production Systems", Masson
Skills
2| Ref. | Verb | Description | Level |
|---|---|---|---|
| C2_1 | design | design and perform system modelling to study system performance | 3 |
| C2_2 | justify | be able to justify the FMDS performance of a system from the analysis of its model | 3 |