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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

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