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Fokker–Planck modeling of many-agent systems in swarm manufacturing: asymptotic analysis and numerical results

Articolo
Data di Pubblicazione:
2023
Abstract:
In this paper we study a novel Fokker-Planck-type model that is designed to mimic manufacturing processes through the dynamics characterizing a large set of agents. In particular, we describe a many-agent system interacting with a target domain in such a way that each agent/particle is attracted by the center of mass of the target domain with the aim to uniformly cover this zone. To this end, we first introduce a mean-field model with discontinuous flux whose large-time behavior is such that the steady state is globally continuous and uniform over a connected portion of the domain. We prove that a diffusion coefficient, guaranteeing that a given portion of mass enters in the target domain, exists and that it is unique. Furthermore, convergence to equilibrium in 1D is provided through a reformulation of the initial problem involving a nonconstant diffusion function. The extension to 2D is explored numerically by means of recently introduced structure preserving methods for Fokker-Planck equations.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
swarm robotics, swarm manufacturing, multi-agent systems, Fokker-Planck equations
Elenco autori:
Auricchio, Ferdinando; Toscani, Giuseppe; Zanella, Mattia
Autori di Ateneo:
AURICCHIO FERDINANDO
ZANELLA MATTIA
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1506319
Pubblicato in:
COMMUNICATIONS IN MATHEMATICAL SCIENCES
Journal
  • Dati Generali

Dati Generali

URL

https://dx.doi.org/10.4310/CMS.2023.v21.n6.a10; https://arxiv.org/abs/2205.09996
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