Dependable Control and Decision Group

DECODE – Dependable Control and Decision Group

The DECODE (Dependable Control and Decision) group focuses on complex control systems, where coupling between subsystems, local sources of uncertainty, and structural changes can undermine reliability and generate dangerous behaviors. By leveraging tools from control theory, optimization, and machine learning, we contribute to the development of next-generation systems that are dependable, more autonomous and self adapt to changes in the internal dynamics and the surrounding environment.

The DECODE group is part of the EPFL Automatic Control Laboratory and the NCCR automation.

All software related to our publications is freely available on GitHub.

Do not forget to follow us on Linkedin!

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Research topics

News

© 2024 EPFL

Congratulations to Clara on succesfully completing her PhD!

— The public defense of Clara Galimberti took place on Monday, 23/09/24

© 2024 EPFL

Welcome to Jakob Nylöf!

— Jakob has joined the DECODE group to work on distributional robust control under the supervision of Giancarlo Ferrari Trecate, Daniel Kuhn and John Lygeors. He's also a student member of the NCCR automation.

© 2024 EPFL

DECODE at ECC2024, Stockholm, Sweden

— DECODE organized a successful workshop on 'Neural network control with stability guarantees' with PoliMi, and presented several papers on regret minimization and unconstrained optimization of neural networks for control and system identification.

© 2024 EPFL

New publication in the Electric Power Systems Research journal

— Modeling existing distribution grids is essential for implementing the advanced control techniques required for the energy transition. However, using machine learning for this purpose faces significant challenges due to the limitations of current sensing technology. The paper "Power Grid Parameter Estimation Without Phase Measurements: Theory and Empirical Validation" offers a statistical analysis of the errors in various state-of-the-art estimation methods. The key finding is that, until advanced sensors become more affordable, control engineers should prioritize using the impedance matrix over the admittance matrix wherever possible.

© 2024 EPFL

Two PhD positions avaiable in the DECODE group

— Two PhD positions are available within the DECODE group of EPFL on "Nonlinear data-driven control: robust closed-loop stability and performance guarantees" and "A Bayesian framework for optimal control". Candidates with a strong methodological background and motivated by research on theory and algorithms are encouraged to apply. More details can be found under Open Positions in the menu.

© 2024 EPFL

Congratulations to Baiwei Guo on Earning His PhD!

— Baiwei Guo defended his thesis on Friday, 1/12/23.

© 2024 EPFL

Clara Galimberti finalist for the IEEE CSS Swiss Young Author Award

— Finalist for the IEEE CSS Swiss Young Author Award

© 2024 EPFL

DECODE at 2nd Brig Workshop on Dissipativity in Systems and Control

— DECODE members at 2nd Brig Workshop on Dissipativity in Systems and Control, Brig, Switzerland

© 2024 EPFL

New PhD student

— Laura Meroi recently joined LA. She will work on neural network control for non-linear systems with dissipativity and performance guarantees toward her PhD with Prof. Giancarlo Ferrari Trecate.

All news

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Funding acknowledgment

Contact

Head of the group: Giancarlo Ferrari Trecate
Office: ME C2 398
Mail: [email protected]

Administration : Barbara Schenkel
Office : ME C2 389
Phone : +41 21 693 07 80
Fax : +41 21 693 2574
Mail : [email protected]

How to reach the DECODE group and the Laboratoire d’Automatique from the M2 metro station

Dependable Control and Decision group (DECODE)
Ecole Polytechnique Fédérale de Lausanne
EPFL STI IGM SCI-STI-GFT 
ME C2 398 (Bâtiment ME) , Station 9 
CH-1015 Lausanne
Switzerland


Access map