Jean-Sébastien Brouillon

Jean-Sébastien Brouillon

PhD Student

EPF Lausanne

Automatic systems are like campfires: if you take good care of them when they are small, when they grow big they will take care of you.

Jean-Sébastien Brouillon obtained a Bsc. in Micro-engineering from EPFL and a Msc. in Robotics, Systems and Control from ETH Zürich in 2016 and 2019, respectively. During his graduate studies, he conducted research at the Automatic Control Laboratory at ETH on decentralized control. From 2018 to 2019 he worked as an Embedded Software Developer for collaborative robot arms at F&P Robotics. He joined the NCCR project as doctoral researcher from EPFL in November 2020. He is part of the DECODE group under Prof. Ferrari Trecate's supervision, and focuses on identification and control of power networks.

Scientific Publications

Published

Minimal Regret State Estimation of Time-Varying Systems

Proceedings of IFAC World congress 2023

Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari Trecate

2023

Collection

Published

Regularization for distributionally robust state estimation and prediction

IEEE Control System Letters

Vol 7 Pages 2713 - 2718

Jean-Sébastien Brouillon, Florian Dörfler, Giancarlo Ferrari Trecate

2023

Collection

Published

Maximum likelihood estimation of distribution grid topology and parameters from smart meter data

Grid edge technologies 2023

Lisa Laurent, Jean-Sébastien Brouillon, Giancarlo Ferrari Trecate

2023

Collection

Published

Robust online joint state/input/parameter estimation of linear systems

2022 IEEE 61st Conference on Decision and Control (CDC)

Jean-Sébastien Brouillon, Keith Moffat, Florian Dörfler, Giancarlo Ferrari Trecate

2022

Doi.org Collection

Published

Bayesian Error-in-Variables Models for the Identification of Distribution Grids

IEEE Transactions on Smart Grid

Vol 14 No 2

Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Keith Moffat, Florian Dörfler, Giancarlo Ferrari Trecate

2022

Collection

Published

Bayesian Methods for the Identification of Distribution Networks

2021 60th IEEE Conference on Decision and Control (CDC)

Pages 3646-3651

Jean-Sébastien Brouillon, Emanuele Fabbiani, Pulkit Nahata, Florian Dörfler, Giancarlo Ferrari Trecate

2022

Doi.org Collection

Research projects as Researcher

Title

Principal Investigators

Online estimation and control for autonomous electric networks

Giancarlo Ferrari Trecate, Florian Dörfler

Summary

For temporally varying electric distribution networks, reliable information about the system topology and parameters may be missing or outdated. In the project we will develop online estimation algorithms for the network reconstruction, so as to automatically track changes, even in the presence of noisy and incomplete data. Furthermore, we will blend online estimation algorithms with higher-level controllers commonly used in distribution networks and apply our methods to the moon-shot testbed developed in the NCCR. Our ultimate goal is to contribute to the development of autonomous electric networks that self-adapt in real-time to changing ambient conditions.

People involved