Modeling and Control of Industrial Systems - MCIS

The MPSI department (Eco-Technical Systems Engineering) aims to contribute to the modeling and evaluation of complex eco-technical systems. This notion of system is to be understood here as a sustainable research object (eco-technical) integrating digital technologies (towards Cyber-Physical Systems - CPS), but also as a methodology (system engineering) advocating an integrative vision of the issues related to it. The systems of interest studied in this department are mostly Dynamic and Complex Event Discrete Systems positioning the department in the disciplinary field of Automation and Computer Engineering. In this sense, the research work, both fundamental and final, carried out within the department focuses more specifically on the development of methods, models and tools associated with the evaluation and decision-making processes in order to pilot/control and maintain in operational condition the targeted CPS-type systems. This purpose of piloting/controlling/maintaining is more specifically declined in view of the functional performances to be satisfied by the system (control of physical flows in coherence with informational flows), but also of its safety and connectivity requirements (communication between the autonomous components of the system).

Thus, in coherence with the keywords of section 61 (Computer Engineering, Automation and Signal Processing) of the CNU, the department develops 3 disciplinary orientations: modeling and control of industrial cyber-physical systems, Automation of communication networks, and Safety of complex systems.

Les défis de l’Automatique et du Génie Informatique sont traités au sein de trois projets structurant scientifiquement le département : modélisation des COnnaissances et PILotage des systèmes industriels cyber-physiques (COPIL), Sûreté de fonctionnement, PHM et maintenance (SDF-PHM2) et Autonomie et Résilience des réseaux Numériques (ARN).

Riche de ses partenariats avec le monde socio-économique, le département MPSI incarne la synergie fertile entre recherche fondamentale et appliquée.