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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

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