Professor • HDR
Department & Team
Automation, Signals, and Images
MIAM
Contact:
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Areas of Expertise
- Control architectures, hierarchical control, over- and under-actuated linear and non-linear systems, control allocation, advanced control
- Autonomous vehicles, vehicle dynamics, ground vehicles, aerial véhicles
- Robot fleets, collaboration and cooperation, formation guidance
- Experimental validation
Description
My research focuses on proposing new hierarchical control architectures for over- and under-actuated linear and non-linear mechatronic systems using advanced control strategies (hierarchical architectures, control allocation, collaborative control, coordination, LPV control, MPC, etc.). My research covers both methodological and applied aspects. Its primary area of application is the control of connected autonomous vehicles (extending to small off-road vehicles, mobile robots and drones), with a focus on Industry 4.0 through the control of mechatronic systems.
My research focuses on two main areas:
- Autonomous ground vehicles. This area focuses on the design of hierarchical navigation architectures (lateral, longitudinal and lateral stabilisation control), global chassis control and trajectory generation for connected autonomous vehicles in conventional driving situations (on-road) and non-conventional situations (on unstructured terrain, critical situations).
- Heterogeneous autonomous robots. This area aims to propose control algorithms (centralised, distributed, etc.) for formation guidance, coordination and collaboration among a fleet of heterogeneous autonomous robots (ground-based mobile robots, drones, etc.) operating in a dynamic navigation environment that is constrained and shared with other users.
Publications
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8ème conférence internationale des Sciences et Techniques de l'Automatique, STA'2007
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A decoupled multiple model approach for state estimation of nonlinear systems subject to delayed measurements (2007) Conference paper3rd IFAC Workshop on Advanced Fuzzy and Neural Control, AFNC 2007
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Estimation d'état des systèmes non linéaires par une approche multimodèle découplé (2007) Conference paper2èmes Journées Doctorales / Journées Nationales MACS, JD-JN-MACS
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State estimation of nonlinear discrete-time systems based on the decoupled multiple model approach (2007) Conference paper4th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2007
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Nonlinear system identification using uncoupled state multiple-model approach (2006) Conference paperWorkshop on Advanced Control and Diagnosis, ACD'2006