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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

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