6533b7d4fe1ef96bd1261f02

RESEARCH PRODUCT

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

Hamidou TembineDario Bauso

subject

Computer Science::Computer Science and Game Theory0209 industrial biotechnologyTheoretical computer scienceComputer scienceInterface (computing)PopulationStability (learning theory)02 engineering and technology01 natural sciencesAdversarial system020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryRobustness (computer science)Differential game0101 mathematicsElectrical and Electronic Engineeringcrowd-averse cyber-physical systems robust mean-field games paradigm networked control system differential game theory mathematical physics H∞-optimal control mean-field system adversarial disturbance effecteducationeducation.field_of_studyCyber-physical systemOptimal controlComputer Science Applications010101 applied mathematicsControl and Systems EngineeringSettore MAT/09 - Ricerca Operativa

description

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 $H_{\infty}$ - 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.

yearjournalcountryeditionlanguage
2016-08-01IEEE Transactions on Automatic Control
https://doi.org/10.1109/tac.2015.2492038