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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, 10 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

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