Density Flow in Dynamical Networks via Mean-Field Games

Dario Bauso, Dario Bauso, Xuan Zhang, Antonis Papachristodoulou

Risultato della ricerca: Articlepeer review

10 Citazioni (Scopus)

Abstract

Current distributed routing control algorithms for dynamic networks model networks using the time evolution of density at network edges, while the routing control algorithm ensures edge density to converge to a Wardrop equilibrium, which was characterized by an equal traffic density on all used paths. We rearrange the density model to recast the problem within the framework of mean-field games. In doing that, we illustrate an extended state-space solution approach and we study the stochastic case where the density evolution is driven by a Brownian motion. Further, we investigate the case where the density evolution is perturbed by a bounded adversarial disturbance. For both the stochastic and the worst-case scenarios, we provide conditions for the density to converge to a pre-assigned set. Moreover, we analyze such conditions from two different perspectives, repeated games with vector payoffs and inclusion theory.
Lingua originaleEnglish
Numero di pagine13
RivistaIEEE Transactions on Automatic Control
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1706???
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