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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

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