Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games

Dario Bauso; Dario Bauso; Hamidou Tembine

Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games

Dario Bauso, Dario Bauso, Hamidou Tembine

Ingegneria

Risultato della ricerca: Article › peer review

1 Citazioni (Scopus)

Abstract

For a networked controlled system, we illustrate the paradigm of robust mean-field games. This is a modeling framework at the interface of differential game theory, mathematical physics, and H∞-optimal control that tries to capture the mutual influence between a crowd and its individuals. First, we establish a mean-field system for such games including the effects of adversarial disturbances. Second, we identify the optimal response of the individuals for a given population behavior. Third, we provide an analysis of equilibria and their stability.

Lingua originale	English
Numero di pagine	6
Rivista	IEEE Transactions on Automatic Control
Stato di pubblicazione	Published - 2015

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

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AB - For a networked controlled system, we illustrate the paradigm of robust mean-field games. This is a modeling framework at the interface of differential game theory, mathematical physics, and H∞-optimal control that tries to capture the mutual influence between a crowd and its individuals. First, we establish a mean-field system for such games including the effects of adversarial disturbances. Second, we identify the optimal response of the individuals for a given population behavior. Third, we provide an analysis of equilibria and their stability.

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