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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


 

 

Collaborations

 

Key words

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