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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

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