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