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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

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