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

Dario Bauso, Tembine Hamidou

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number7300401
Pages (from-to)2312-2317
Number of pages6
JournalIEEE Transactions on Automatic Control
Volume61
Issue number8
DOIs
StatePublished - Aug 1 2016

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Game theory
Physics
Cyber Physical System

Keywords

  • Closed loop systems
  • control design
  • control engineering

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Crowd-Averse Cyber-Physical Systems : The Paradigm of Robust Mean-Field Games. / Bauso, Dario; Hamidou, Tembine.

In: IEEE Transactions on Automatic Control, Vol. 61, No. 8, 7300401, 01.08.2016, p. 2312-2317.

Research output: Contribution to journalArticle

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