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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

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