Dependable Control and Decision Group

Distributionally robust state estimation can be computed in real time

Published:20.06.23 — The manuscript entitled "Regularization for distributionally robust state estimation and prediction" has been accepted for publication in the Control Systems Letters journal. It describes how one can use regularization to minimize the mean absolute error of state estimates when the system is affected by noise distributed according to a distribution of which only samples are known. By design, the method is designed offline and provides out-of-sample guarantees when deployed in the field.

Hamiltonian Deep Neural Networks are Universal Approximators!

Published:19.06.23 — Our paper "Universal Approximation Property of Hamiltonian Deep Neural Networks" is accepted in L-CSS. 

Baiwei Guo received the Best PhD paper award at ECC23

Published:16.06.23 — Best PhD paper award at ECC23

Welcome to Daniele Martinelli

Published:21.03.23 — The DECODE group welcomes a new Ph.D. student to their team: Daniele Martinelli.

New publication in IEEE Transactions on Smart Grid

Published:06.03.23 — Our paper "Bayesian Error-in-Variables Models for the Identification of Distribution Grids" has been accepted and published in the March 2023 Volume of IEEE Transactions on smart grid (available here).

Top cited article in Optimal Control Applications and Methods

Published:21.02.23 — The article "Supervised model predictive control of large-scale electricity networks via clustering methods" is among the top cited papers in OCAM from 1 Jan 2021 to 15 Dec 2022. A special thanks to Pascal Klaus, a student of our group who developed the core research during his master project at the Politecnico di Milano.

Leonardo Massai begins his PostDoc in DECODE

Published:19.02.23 — Welcome to Leonardo Massai, who recently joined the DECODE group from Politecnico di Torino. Leonardo will strengthen our research on distributed control based on neural networks and machine learning.

Welcome to Massimiliano d'Angelo!

Published:24.01.23 — Massimiliano, currently Postdoc researcher at Sapienza University of Rome, is visiting the DECODE group for two months bringing his expertise on dynamic systems and probability for studying the properties of neural ODES.

Danilo Saccani joins the DECODE group

Published:11.01.23 — Danilo Saccani joined the group at the beginning of January 2023, bringing his expertise on distributed control, UAVs and MPC. Danilo is also a member of the NCCR automation. Welcome to DECODE!