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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





Key words

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