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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). The unit is also supported by the Lorraine Institute of Oncology (ICL - Alexis Vautrin) and hosts hospital practitioners from the University Hospital Center (CHU).

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, 10 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

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