Publication

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

Bauso, D. & Tembine, H., Aug-2016, In : IEEE Transactions on Automatic Control. 61, 8, p. 2312-2317 6 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Bauso, D., & Tembine, H. (2016). Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games. IEEE Transactions on Automatic Control, 61(8), 2312-2317. https://doi.org/10.1109/TAC.2015.2492038

Author

Bauso, Dario ; Tembine, Hamidou. / Crowd-Averse Cyber-Physical Systems : The Paradigm of Robust Mean-Field Games. In: IEEE Transactions on Automatic Control. 2016 ; Vol. 61, No. 8. pp. 2312-2317.

Harvard

Bauso, D & Tembine, H 2016, 'Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games', IEEE Transactions on Automatic Control, vol. 61, no. 8, pp. 2312-2317. https://doi.org/10.1109/TAC.2015.2492038

Standard

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

In: IEEE Transactions on Automatic Control, Vol. 61, No. 8, 08.2016, p. 2312-2317.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Bauso D, Tembine H. Crowd-Averse Cyber-Physical Systems: The Paradigm of Robust Mean-Field Games. IEEE Transactions on Automatic Control. 2016 Aug;61(8):2312-2317. https://doi.org/10.1109/TAC.2015.2492038


BibTeX

@article{96e5937d413f4e92b0a4b7c630fc2698,
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-infinity-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 engineering, control design",
author = "Dario Bauso and Hamidou Tembine",
year = "2016",
month = "8",
doi = "10.1109/TAC.2015.2492038",
language = "English",
volume = "61",
pages = "2312--2317",
journal = "IEEE-Transactions on Automatic Control",
issn = "0018-9286",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "8",

}

RIS

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-infinity-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-infinity-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 engineering

KW - control design

U2 - 10.1109/TAC.2015.2492038

DO - 10.1109/TAC.2015.2492038

M3 - Article

VL - 61

SP - 2312

EP - 2317

JO - IEEE-Transactions on Automatic Control

JF - IEEE-Transactions on Automatic Control

SN - 0018-9286

IS - 8

ER -

ID: 72166827