DECISION AND INTEROPERABILITY FOR DYNAMIC SYSTEMS - THE DIDS TEAM
Improving the performance of complex systems in terms of their operability, reactivity, degree of intelligence, degree of mobility and degree of autonomy.
Research field of DIDS are about the control and the behavioral modeling of dynamic systems. Methods for the tuning and improvement of process dynamics (control for decision) as well as informational and dynamical exchanges between processes (dynamical distributed decision) are developped.
Systems are considered either as their own entities or as systems of systems immersed in a complex environment that can potentially interact with a human.
General fields of interest
Methodological tools
- Design methods for minimal observers
- Multi-physics characterisation and modelling
- Multi-levels (semantic, topological, geometric) architecture for interactive and immersive planning
- Modelling using graphs and ontologies
- Agents based architecture
- Distributed algorithms for problems solution
- Adaptive methods for estimation and control
- System identification
- Trajectory generation and tracking
- Fault and diagnosis isolation
THE DIDS TEAM
FULL PROFESSORS
ASSOCIATE PROFESSORS
ASSISTANT PROFESSORS
VINE Guillaume
POST-DOCTORAL MEMBERS
PhD STUDENTS
BENCHEIKH Ghita
DEHGHANIKIADEHI Saba
ELMHADHBI Linda
EN-NASYRY Alae
LE MAITRE GONZALEZ Esteban
MASMOUDI Maroua
MOSKOLAI NGOSSAHA Justin (Projet commun DIDS/SDC)
SAKHRAOUI Imane
TAHIRI Ayoub
VINE Guillaume
ZHAO Yingshen
TECHNICAL ASSISTANTS