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Founded in 1980, the Research Center for Automatic Control (CRAN) is a joint research unit between the University of Lorraine and the French National Scientific Research Center (CNRS). It also hosts researchers from the Lorraine Institute of Oncology (ICL - Alexis Vautrin), the University Hospital of Nancy, the Regional Hospital Center of Metz-Thionville and the LIST in Luxembourg-City.

As of January 1, 2023, the laboratory had 107 academics, 3 emeritus, 10 CNRS researchers, 11 other researchers from UL, ICL and CHU or external organizations, 13 post-doctoral fellows, 90 doctoral students and 33 (including 28 permanent and 5 fixed-term contracts) engineers, technicians or administrators. It is part of the Charles Hermite Automatique, Informatique, Mathématiques de Lorraine Research Federation and the Automatique, Mathématiques, Informatique et leurs Interactions (AM2I) scientific pole of the University of Lorraine.

Based on digital sciences, the laboratory is internationally recognized for its activities in the fields of signal and image processing, control and computer engineering, as well as for its work in health in connection with biology and neuroscience. Today, its fundamental and applied research enables it to accompany the changes in society and goes beyond the traditional industrial issues: energy production, management of the intelligent city or transport. In health, it is opening up to diagnosis and care in cancerology and neurology. They are crossing sociology, listening to social behaviors and opinion dynamics, and investing in the field of sustainable development, in the service of the circular economy and ecological systems.

The departments


 

 

Collaborations

 

Key words

Industry 40 Systèmes linéaires Descriptor systems Reconfiguration Nonlinear system Observer-based control Graph theory Fault diagnosis Consensus Détection de défaut ingénierie Security Internet of Things Systems Engineering MTHPC Modelling Lyapunov stability LMIs Interoperability Fault tolerant control Estimation Networked control systems Availability Energy efficiency Breast cancer Glioblastoma Safety Observers Optimal control Stability analysis Observer Singular systems Ontology Nonlinear systems Maintenance Multi-component system Simulation Fault estimation Stability Neural network Robustness Lyapunov methods Wireless sensor networks Event-triggered control Optimization System identification Cancer Multi-agent systems Uncertain systems Multiple model Parameter estimation Fluorescence Diagnosis State estimation Estimation d'état Fiabilité Prognostics Monte Carlo simulation Bilinear systems Linear matrix inequalities Unknown inputs Photodynamic therapy Hybrid systems Robust control EEG Instrumental variable Synchronization Linear matrix inequality LPV systems Machine learning Classification Radiotherapy Data reconciliation Observer design Linear systems Fault detection and isolation Identification Neural networks Model-free control Reliability LMI Dependability Stabilization Prognostic Modeling Systèmes non linéaires Modélisation Robustesse E-maintenance Switched systems Nonlinear observer Epilepsy Flatness Diagnostic Fault detection Sûreté de fonctionnement Uncertainty Fault-tolerant control Thérapie photodynamique Optimisation Observability