Motivated by the applications in leader-follower multi-agent dynamics, a class of optimal control prob-lems is investigated, where the goal is to influence the behavior of a given population through another controlled one interacting with the first. The evolution of the systems obeys a non-linear Fokker-Planck-type equation as diffusive terms accounting for randomness in the evolution are taken into account. A well-posedness theory under very low regularity of the control vector fields is developed, as well as a rig-orous mean-field limit of a stochastic particle approximation.& COPY; 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons .org /licenses /by -nc -nd /4 .0/).

Optimal control problems in transport dynamics with additive noise / Almi, Stefano; Morandotti, Marco; Solombrino, Francesco. - In: JOURNAL OF DIFFERENTIAL EQUATIONS. - ISSN 0022-0396. - 373:(2023), pp. 1-47. [10.1016/j.jde.2023.07.010]

Optimal control problems in transport dynamics with additive noise

Marco Morandotti;
2023

Abstract

Motivated by the applications in leader-follower multi-agent dynamics, a class of optimal control prob-lems is investigated, where the goal is to influence the behavior of a given population through another controlled one interacting with the first. The evolution of the systems obeys a non-linear Fokker-Planck-type equation as diffusive terms accounting for randomness in the evolution are taken into account. A well-posedness theory under very low regularity of the control vector fields is developed, as well as a rig-orous mean-field limit of a stochastic particle approximation.& COPY; 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons .org /licenses /by -nc -nd /4 .0/).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2982595