activity
20162024
most citedA Boltzmann approach to mean-field sparse feedback control

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

math.NA20241 cited

Instantaneous control strategies for magnetically confined fusion plasma

Giacomo Albi, Giacomo Dimarco, Federica Ferrarese +1

The principle behind magnetic fusion is to confine high temperature plasma inside a device in such a way that the nuclei of deuterium and tritium joining together can release energ…

math.OC2023

Exponential integrators for mean-field selective optimal control problems

Giacomo Albi, Marco Caliari, Elisa Calzola +1

In this paper we consider mean-field optimal control problems with selective action of the control, where the constraint is a continuity equation involving a non-local term and dif…

math.OC2022

Supervised learning for kinetic consensus control

Giacomo Albi, Sara Bicego, Dante Kalise

In this paper, how to successfully and efficiently condition a target population of agents towards consensus is discussed. To overcome the curse of dimensionality, the mean field f…

math.OC20161 cited

A Boltzmann approach to mean-field sparse feedback control

Giacomo Albi, Massimo Fornasier, Dante Kalise

We study the synthesis of optimal control policies for large-scale multi-agent systems. The optimal control design induces a parsimonious control intervention by means of l-1, spar…

physics.soc-ph2016

Recent advances in opinion modeling: control and social influence

Giacomo Albi, Lorenzo Pareschi, Giuseppe Toscani +1

We survey some recent developments on the mathematical modeling of opinion dynamics. After an introduction on opinion modeling through interacting multi-agent systems described by…