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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). The unit is also supported by the Lorraine Institute of Oncology (ICL - Alexis Vautrin) and hosts hospital practitioners from the University Hospital Center (CHU).

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

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