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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





Key words

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