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

Dario Bauso; Hamidou Tembine

doi:10.1109/TAC.2015.2492038

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

Dario Bauso, Hamidou Tembine

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Article number	7300401
Pages (from-to)	2312-2317
Number of pages	6
Journal	IEEE Transactions on Automatic Control
Volume	61
Issue number	8
DOIs	https://doi.org/10.1109/TAC.2015.2492038
State	Published - Aug 2016

Keywords

Closed loop systems
control design
control engineering

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/TAC.2015.2492038

Cite this

@article{775beaa03d83483c97457f9cf92c8018,

title = "Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games",

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.",

keywords = "Closed loop systems, control design, control engineering",

author = "Dario Bauso and Hamidou Tembine",

note = "Publisher Copyright: {\textcopyright} 1963-2012 IEEE.",

year = "2016",

month = aug,

doi = "10.1109/TAC.2015.2492038",

language = "English (US)",

volume = "61",

pages = "2312--2317",

journal = "IEEE Transactions on Automatic Control",

issn = "0018-9286",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "8",

}

TY - JOUR

T1 - Crowd-Averse Cyber-Physical Systems

T2 - The Paradigm of Robust Mean-Field Games

AU - Bauso, Dario

AU - Tembine, Hamidou

PY - 2016/8

Y1 - 2016/8

N2 - 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.

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.

KW - Closed loop systems

KW - control design

KW - control engineering

UR - http://www.scopus.com/inward/record.url?scp=84982735893&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84982735893&partnerID=8YFLogxK

U2 - 10.1109/TAC.2015.2492038

DO - 10.1109/TAC.2015.2492038

M3 - Article

AN - SCOPUS:84982735893

SN - 0018-9286

VL - 61

SP - 2312

EP - 2317

JO - IEEE Transactions on Automatic Control

JF - IEEE Transactions on Automatic Control

IS - 8

M1 - 7300401

ER -

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

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this