Embedded Systems

Embedded Systems research aims to develop technologies, methods and tools for signal processing, hardware-software technologies, autonomous smart systems and collaborative system engineering.

Market, Needs & Challenges

Embedded systems are at the heart of product innovation, enabling new functionality and applications. The market is looking for increases in systems autonomy, performance, dependability and communication capabilities, leading to more and more embedded intelligence and complexity. These innovations require advances in hardware and software technologies. Mastering their development, use and maintenance in a stringent regulatory context is one of the domain’s challenges.

More embedded intelligence, through:

  • functional and operational performance,
  • dependability and security,
  • complexity mastering,

are the main challenges of the domain.

Competence Centers

Field of expertise

  • Systems engineering: requirement engineering- modelling and simulation –  formal methods – collaborative tools – standardization.
  • Signal and data processing: telecoms physical layer and network processing – RF signals detection – optical and radar image processing.
  • Intelligent systems: combinatorial optimization – deep learning – multimodal man/machine interfaces.

Projects in progress

INGEQUIP : Methods and tools for equipment engineering (system-hardware-software co-design, component-based development methods, formal verification methods).

MOISE : Methods and tools for model-based collaborative system engineering (requirement engineering, multi-view modeling and verification, system engineering in extended enterprise).

MDA-MDO : Methods and tools for multi-disciplinary analysis and optimization (aeronautical study cases).

MIMIKS :  Smart multi-modal human-machine interfaces for the capture and transmission of production operators know-how.