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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

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