MOPISAP
Modeling and Control of Automated Production Systems
This team focuses on scientific research and technological development related to the modeling, supervision, control, and optimization of automated production systems. In the literature, several theories based on Petri nets have been proposed for synthesizing supervisors that ensure the desired operation of processes viewed as discrete event systems.
Among these approaches, invariant-based methods are particularly important. The team develops control synthesis techniques, process modeling methods using Petri nets, and optimization strategies to improve system performance indicators such as makespan and throughput.
Research Overview
Team 2 develops methods and tools for the synthesis, modeling, supervision, and optimization of automated production systems, with a strong focus on discrete event systems and Petri net-based approaches.
Scientific Themes
Supervisor Synthesis
Development of supervisor computation techniques to meet the operational constraints of the studied processes.
Process Modeling
Modeling of the processes under study using Petri nets and discrete event system representations.
Performance Optimization
Optimization of controlled system performance through new methods targeting indicators such as makespan and throughput.
Keywords
Team Composition
Click on a member’s name to access the corresponding dedicated page.
Team Leader
Doctoral Researchers
Selected Publications
The title of each publication is clickable and redirects to the provided source.