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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

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