Laboratory of
signals and systems

The laboratory

The Laboratory of Signals and Systems (L2S, UMR 8506) is a French research laboratory created in 1974, located in Paris-Saclay University, and jointly operated by the CNRS, CentraleSupélec and the University of Paris-Saclay.

Research at L2S focuses on fundamental and applied mathematical aspects of control theory, AI, data science, information, signal and image processing, communication, and network theory.

The laboratory was evaluated by HCERES in 2018 and will be evaluated again in 2023.

Key figures


faculty members


PhD students


publications in 2020


Research fields

Systems and Control

Our research in area of control systems covers both methodological developments and concrete applications. It addresses analysis, modeling, and control problems in fields ranging from biology to power systems engineering. Methodological developments concern, among others, hybrid systems, delay systems, and model predictive control, with a particular emphasis on nonlinear systems. These activities are often carried […]
Read more

Signal processing and Statistics

Research activities in Signal processing and Statistics are inspired from data processing challenges in various application fields such as health engineering, nondestructive testing of materials, acoustics, remote sensing, astrophysics, transportation, electrical and mechanical engineering. Our research aims at proposing solutions to big and possibly heterogeneous data analysis, statistical learning, data mining, temporally and spatially correlated […]
Read more

Networks and Telecommunications

The Network and Telecommunications activity carries out fundamental research in the field of Networks and Telecommunications. In terms of applications, the main areas of interest include wireless networks, vehicular networks, but also emerging subjects such as synergy between communication networks and smart grids. The Network and Telecommunications activity brings together skills at the “lower layers” […]
Read more



France is developing a research and innovation strategy to develop information technologies in the field of intelligent electrical power systems (or Smart Grids), an interdisciplinary field par excellence. The applications include power generation systems (e.g. from renewable energy sources), large interconnected power transmission networks, local distribution networks, on-board electrical systems and land-based electric vehicles in […]
Read more

Health & biology

The “data revolution” is impacting all areas of “health and life” and offers a field of application where statistics/machine learning, image processing, control theory and data protection find their full meaning. The “health and life” interdisciplinary axis aims at promoting existing actions and encourage new interdisciplinary collaborations in the field of biology and medicine. Examples […]
Read more

Industry 4.0

Industry of the future, in the wave of the current fourth industrial revolution, will be powered by the drastic increase in the information processing capacities, the communication networks expansion, the development of modeling and simulation tools, and the advances of management and logistics processes. In this context, the “Industry of the future” interdisciplinary axis federates […]
Read more



Séminaire de Lucas Brivadis

14h00-15h00 – Online Infinite-dimensional Luenberger observers: application to a crystallization process Lucas Brivadis (LAGEPP, Université Lyon 1) Abstract. During a […]
Afficher le détail


Le mercredi 20 octobre 2021 de 9h00 à 16h00, à distance, EDF et CentraleSupélec ont le plaisir de vous inviter à la […]
Afficher le détail

Séminaire Digicosme

Michel Kieffer (L2S) & Kinda Khawam (Université de Versailles) Adapter l’IoT à Internet et la 5G 9:30 – 10:00 : […]
Afficher le détail

Séminaire de Paolo Piccione

11h00-12h00 – Salle du conseil (L2S) Minimal 2-spheres in ellipsoids via global bifurcation theory Paolo Piccione (Universidade de São Paulo, […]
Afficher le détail

Soutenance de thèse de Yingying Qin

Avis de soutenance Yingying QIN Systèmes et Applications des Technologies de l’Information et de l’Energie (SATIE) & Laboratoire des Signaux […]
Afficher le détail

Robust low-rank covariance matrix estimation with missing values and application to classification problems

Speaker — Alexandre Hippert-Ferrer (L2S, CentraleSupelec, Univ. Paris-Saclay) Abstract — Missing values are inherent to real-world data sets. Statistical learning […]
Afficher le détail