Description du projet
Repenser les fondements de la conception des systèmes de fabrication intelligents ultra sécurisés
La quatrième révolution industrielle est à notre porte, comme en témoignent les transformations rapides des lignes de production en des systèmes autonomes intelligents. Ces innovations apportent leur lot d’opportunités, mais également de défis intellectuels et d’ingénierie susceptibles de retarder leur adoption. L’un des principaux obstacles est le manque de méthodes de conception modulaires et rigoureuses capables de s’aligner avec les espaces de conception tout en garantissant la justesse, la sûreté et la sécurité de fonctionnement en présence de comportements incertains et imprévisibles. Pour répondre à ces défis, le projet DeFacto, financé par l’UE, va développer de nouveaux paradigmes de modélisation, des algorithmes évolutifs et des outils permettant la conception ultra sécurisée de systèmes de fabrication intelligents, et plus largement, de systèmes cyber-physiques autonomes.
Objectif
The manufacturing world is experiencing what many recognize as “the fourth industrial revolution”, characterized by production lines turning into complex cyber-physical systems (CPSs). This transformation offers unprecedented opportunities but brings a series of intellectual and engineering challenges. The DeFacto (Design Automation for Smart Factories) project aims at advancing the field of CPS design and its automation by developing novel modeling paradigms, scalable algorithms, and tools to aid the design of smart manufacturing systems, ultimately fostering their widespread adoption.
DeFacto’s methodology reasons about systems using reliable compositional abstractions of system behaviors based on assume-guarantee (A/G) contracts. An A/G contract represents the interface of a component as a pair of assumptions and guarantees. Assumptions are the behaviors that a component expects from the environment; guarantees are the behaviors the component promises in the context of the assumptions. Contracts are mathematical models that provide rigorous composition rules and mechanisms to analyze complex system behaviors, validate the design requirements, and develop system components in a modular and hierarchical way. CPSs challenge the existing notions of “modularity”, “hierarchy”, and “separation of concerns” in electronic design. DeFacto rethinks these notions to enable effective and computationally tractable compositional abstractions for industrial CPSs, by blending techniques from formal methods, simulation, and optimization for virtual prototyping and algorithmic synthesis of control software.
DeFacto is a major step for my personal growth and my career as a well-rounded, independent researcher. It allows broadening my horizons with new approaches to CPS design automation and develops the necessary skills to address major scientific and technological challenges to be faced by the European economies and societies.
Champ scientifique
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MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinateur
37129 Verona
Italie