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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


 

 

Collaborations

 

Key words

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