IS2M theme addresses scientific and industrial issues related toi the multidisciplinary design of complex systems based on mechatronics systems, robotic systems, Cyber-Physical Systems (CPS), Cyber-Physical Production Systems (CPPS) and Systems of Systems (SoS), all liable to be safety critical. Designing such complex systems must also take into account the current increasingly demanding environmental, energy, societal and economic context. These scientific activities generate innovations and contribute to the national and European reindustrialisation.

IS2M topics are organised in matrix form (2x2) :

  • Synthesis and analysis of architecture on one axis ;
  • Methodologies and formalisation on the other.


Jean-Yves CHOLEY (PU) - ISAE-Supméca


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In the context of MBSE, the analysis of candidate architectures resulting from the synthesis of architectures, is mainly based on comparative assessments that take into account various constraints (chiefly behavioural) in view to optimisation or aiding decisions. It makes use of the following to take into account a large number of criteria :

  • Mechatronic modelling, simulation and optimisation, that is to say multi-domain (mechanics, electronics, computing, etc.) and multi-physical (electromagnetism, heat, vibration dynamics, etc.) ;
  • The implementation of compact, surrogatemodels, possibly using artificial intelligence ;
  • MultiDisciplinary Optimisation (MDO) ;
  • Model-based safety analysis (MBSA, FTA, etc.) for safety critical systems ;
  • Topological analysis ;
  • Metrics related to the integration of these systems.

The objective is to integrate all these models within a digital twin in order to generate and run numerous assessment scenarios to better assist decision-making in design, especially in the preliminary design phase, but also throughout the lifecycle of a system, may it be a product or a process, or both.

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This research activity mainly relies on methodologies based on MBSE (Model-Based Systems Engineering) models capable of integrating a large number of constraints (agility, eco-design, multiphysics, safety, etc.), ranging from the definition of the need to candidate system architectures, by taking into account the system’s entire lifecycle, and addressing aspects such as “product” and production “process” and coupling them together (co-design of aproduct and its process).

The systems addressed are essentially mechatronic systems and cyber-physical systems (CPS), potentially embedded in autonomous and production systems :

  • Aeronautical and aerospace systems to assist the necessary changes in the sector ;
  • Autonomous transport systems (terrestrial, air, naval) and new modes of mobility ;
  • Production systems including cobotics and CPPS (Cyber-Physical Production Systems) used in the digitalisation of tomorrow’s factories (Industry 4.0), integrated in the processes and for operating and controlling them ;
  • New multi-energy systems (MES) that combine wind power and solar power, for example ;
  • Connected medical devices (IoT), such as the artificial pancreas ;
  • Bio-inspired robotics and swarm robotics ;
  • New mechanical assemblies adapted for implementation in these new systems.
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The design of current and future systems calls on an array of methodologies that are interesting to use in synergy :

  • Systems engineering, more specifically model based (MBSE), with a methodology coupling :
    • Black box analysis to define a set of consistent requirements ;
    • White box analysis to define candidate architectures and choose the optimal physical architecture ;
  • The integration of agility in mechatronic system design ;
  • Methodologies for the collaborative design of complex, mechatronic, and robotic or cobotic systems, etc.
  • Concurrent engineering, more particularly Set Based Concurrent Engineering (SBCE).

Whatever the nature of a system or a process, it is necessary to address :

  • the interoperability between MBSE and models such as CAD, MDO, etc.
  • knowledge management using ontologies and KBE (Knowledge Based Engineering) ;
  • conflict management and decision-making (choice and construction of pertinent metrics, multi-agent, etc.) ;
  • design robustness, for example with variational analysis and multi-domain tolerance analysis.
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The applicability of methodologies that could be used for the design and operation of complex systems (CPS, mechatronics, product-process, etc.) depends on the existence of a formal framework that ensures their consistency, pertinence and reliability.

These rigorous formalisms are mainly based on :

  • The mathematics of complex systems, such as connective structures, category theory, topological analysis, etc.
  • Computer concepts such as formal languages, multi-agent systems, data mining, etc.

Coupled with new design methodologies, they permit :

  • structuring and implementing a digital twin that integrates a large number of heterogenous models ;
  • ensuring and maintaining the consistency of the necessary models ;
  • managing the diversity of modelling languages and tools used during the design phase. We can mention :
  • Formal modelling languages (Modelica, Altarica) and semi-formal ones (SysML) ;
  • Dedicated tools such as Matlab, Cameo Systems Modeler, Capella-Arcadia, PTC Integrity Modeler, AnyLogic, 3D Experience, ModelCenter, Karren, etc.


The team has long been involved in collaborative projects with academic, industrial and institutional partners :

  • FUI projects labelled by the NextMove, System@tic, ASTech, Cosmetic Valley clusters, such as O2M and MIMe for the automotive sector (with Valeo, Ranault, PSA, Dassault Systèmes, DPS), and EUGENE for cosmetics (PUIG). It should be noted that members of the IS2M team are involved in certain DAS and DT of these clusters ;
  • Horizon Europe project (ENERMAN) coordinated by Fiat-Chrysler Automobile ;
  • IRT SystemX (SIM, AMC, S2C projects), with industrial partners such as Dassault Aviation, Safran, ONERA, DGA-TA, Renault, Valeo, etc.

The team has established academic partnerships with French and foreign partners with student supervision, joint projects and publications :

  • UEC (University of Electro-Communication) Tokyo, Japan, Ming laboratory, for robotics ;
  • University Federico II of Naples (UNINA), Italy, IDEAS laboratory (with Fraunhofer) for methodologies, languages and tools for mechatronic modelling and factory 4.0 ;
  • University of Applied Sciences Upper Austria, FHoö,Wels, Austria, for mechatronics and factory 4.0 ;(IS2M-Supméca, FHOÖ Wels and UNINA have created in 2019 the Suniswell research group)
  • ENISo (Sousse), ENIM (Monastir) and ENSIT (Tunis) in Tunisia ;
  • In France, with ENSTA, CentraleSupélec, INSA Lyon and UTC. The members of the ISAE group will be privileged academic partners. This is already the case for ESTACA

Research work is carried out directly with industrial partners, through research contracts, CIFRE theses or by accompanying trainees or end-of-study projects, with, for example:

  • PUIG
  • ArianeGroup
  • EDF
  • Thalès
  • Safran
  • DGA-TA

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Full professor

Tél. : +33 1 49 45 20 21
Mél. :


Ingénierie Système basée sur les modèles (MBSE)
Évaluation de la sûreté fondée sur les modèles (MBSA)
Jumeau numérique, mécatronique et CPS, Usine 4.0

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Associate Professor

Tél.: +33 1 49 45 29 27
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Simulation multiphysique, Systèmes complexes
Jumeau numérique
Bioinspiration, Robotique en essaim

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Assistant professor

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Ingénierie Système basée sur les modèles (MBSE), Sûreté de fonctionnement (MBSA)
Intégration et cohérence MBSE-MBSA
Collaboration et partage des données de conception

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Research Engineer - HDR

Tél. :+33 1 49 45 29 68


Agilité, cohérence, formalisation et interopérabilité des données MBSE
Evaluation d’architectures système et de simulation
Conception mécatronique, CPS, CPPS

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Assistant professor

Tél. : +33 1 49 45 29 24
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Ingénierie Système basée sur les modèles (MBSE), Conception Agile
Modélisation et simulation de Systèmes complexes, mécatroniques et cyber et leurs jumeaux numériques
Traçabilité des conceptions et simulations, Cohérence des Topologies et des Interactions

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Assistant professor

Tél. : +33 1 49 45 29 04
Mél :


Conception et pilotage des systèmes cyberphysiques de production
Ordonnancement, Diagnostic à base de données
Supervision et Reconfiguration des systèmes de production

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Assistant professor

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Connectivité, Topologie, Interactions
Théorie des graphes
Systèmes dynamiques ouverts

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