index - Archive ouverte HAL Access content directly

 

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, 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

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