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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

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