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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). It also hosts researchers from the Lorraine Institute of Oncology (ICL - Alexis Vautrin), the University Hospital of Nancy, the Regional Hospital Center of Metz-Thionville and the LIST in Luxembourg-City.

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

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