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 Automatic Control Laboratory and the NCCR automation.

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Research topics

News

© 2022 EPFL

Master project in collaboration with Johnson Electric

— We are looking for motivated students for the master project " Actuator subjective noise detection via AI assisted time series analysis", to be developed in collaboration with Johnson Electric

© 2021 EPFL

Presentation on Bayesian distribution grid identification

— Watch the talk at CDC 2021 the 15th of December at 15:45, during the invited session on Machine Learning for Control of Power Systems.

© 2021 EPFL

New Award of the IEEE CSS Swiss Chapter

— We are happy to announce the first edition of the "IEEE Control Systems Society – Swiss Chapter Young Author Best Journal Paper Award". The award, sponsored by the Swiss Chapter of the IEEE Control System Society, addresses young researchers who have recently published papers in a journal of the society. More details about eligibility conditions are provided in this page.

© 2021 EPFL

IEEE Workshop on Energy Transition

— The IEEE IES/PES/CSS Workshop on “Control Platforms, Tools & Innovations for the Energy Transition” will take pace on Wednesday December 15th. For the program and the registration (free of charge) please go to https://events.vtools.ieee.org/m/291695

© 2021 EPFL

Our work on Hamiltonian DNNs will be presented at Tsinghua University

— Public seminar on November 5th, 2021. Zoom link https://us02web.zoom.us/j/89360589663?pwd=ZWx0dlVmRGpHVmlzdDZrSmh5LzRZQT09

Schematic of a linear interconnected multi-agent system © M. S. Turan 2021 EPFL

New publication on IEEE Transactions on Control of Network Systems

— Our paper "On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization" has been published on IEEE Transactions on Control of Network Systems (TCNS). The online version of the paper can be found here.

© 2021 EPFL

New paper on IEEE Control Systems Letters!

— Our paper "Data-driven Unknown-input Observers and State Estimation" has been published on the IEEE Control System Letters (L-CSS). The article can be found here.

© 2021 EPFL

Invited Presentation at ETHZ IfA Coffee Talk Seminar

— Dr. Liang Xu was invited to give a presentation about our recent work "A Data-Driven Convex Programming Approach to Worst-Case Robust Tracking Controller Design" at ETHZ IfA Coffee Talk Seminar on July 22nd, 2021.

© 2021 EPFL

New technical report on Bayesian identification of Power Networks

— Bayesian error-in-variable models made specifically for distribution grids can enable the automatic estimation of network parameters from noisy phasor measurements.

All news

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Funding acknowledgment

Contact

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

Administration : Nicole Bouendin
Office : ME C2 389
Phone : +41 21 693 38 45
Fax : +41 21 693 2574
Mail : [email protected]


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