Robust linear quadratic mean-field games in crowd-seeking social Networks

Tembine Hamidou, Dario Bauso, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider a social network where opinions evolve following a stochastic averaging process under the influence of adversarial disturbances. We provide a robust mean-field game model in the spirit of H∞-optimal control, establish existence of a mean-field equilibrium, and analyze its stochastic stability.

Original languageEnglish (US)
Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3134-3139
Number of pages6
ISBN (Print)9781467357173
DOIs
StatePublished - Jan 1 2013
Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
Duration: Dec 10 2013Dec 13 2013

Other

Other52nd IEEE Conference on Decision and Control, CDC 2013
CountryItaly
CityFlorence
Period12/10/1312/13/13

Fingerprint

Quadratic field
Random processes
Mean Field
Social Networks
Stochastic Averaging
Game
Stochastic Stability
Optimal Control
Disturbance
Model
Influence

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Hamidou, T., Bauso, D., & Başar, T. (2013). Robust linear quadratic mean-field games in crowd-seeking social Networks. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013 (pp. 3134-3139). [6760361] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2013.6760361

Robust linear quadratic mean-field games in crowd-seeking social Networks. / Hamidou, Tembine; Bauso, Dario; Başar, Tamer.

2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. p. 3134-3139 6760361.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hamidou, T, Bauso, D & Başar, T 2013, Robust linear quadratic mean-field games in crowd-seeking social Networks. in 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013., 6760361, Institute of Electrical and Electronics Engineers Inc., pp. 3134-3139, 52nd IEEE Conference on Decision and Control, CDC 2013, Florence, Italy, 12/10/13. https://doi.org/10.1109/CDC.2013.6760361
Hamidou T, Bauso D, Başar T. Robust linear quadratic mean-field games in crowd-seeking social Networks. In 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc. 2013. p. 3134-3139. 6760361 https://doi.org/10.1109/CDC.2013.6760361
Hamidou, Tembine ; Bauso, Dario ; Başar, Tamer. / Robust linear quadratic mean-field games in crowd-seeking social Networks. 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013. Institute of Electrical and Electronics Engineers Inc., 2013. pp. 3134-3139
@inproceedings{004f37324a754da48470620e3b8ee6d0,
title = "Robust linear quadratic mean-field games in crowd-seeking social Networks",
abstract = "We consider a social network where opinions evolve following a stochastic averaging process under the influence of adversarial disturbances. We provide a robust mean-field game model in the spirit of H∞-optimal control, establish existence of a mean-field equilibrium, and analyze its stochastic stability.",
author = "Tembine Hamidou and Dario Bauso and Tamer Başar",
year = "2013",
month = "1",
day = "1",
doi = "10.1109/CDC.2013.6760361",
language = "English (US)",
isbn = "9781467357173",
pages = "3134--3139",
booktitle = "2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Robust linear quadratic mean-field games in crowd-seeking social Networks

AU - Hamidou, Tembine

AU - Bauso, Dario

AU - Başar, Tamer

PY - 2013/1/1

Y1 - 2013/1/1

N2 - We consider a social network where opinions evolve following a stochastic averaging process under the influence of adversarial disturbances. We provide a robust mean-field game model in the spirit of H∞-optimal control, establish existence of a mean-field equilibrium, and analyze its stochastic stability.

AB - We consider a social network where opinions evolve following a stochastic averaging process under the influence of adversarial disturbances. We provide a robust mean-field game model in the spirit of H∞-optimal control, establish existence of a mean-field equilibrium, and analyze its stochastic stability.

UR - http://www.scopus.com/inward/record.url?scp=84902358221&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902358221&partnerID=8YFLogxK

U2 - 10.1109/CDC.2013.6760361

DO - 10.1109/CDC.2013.6760361

M3 - Conference contribution

SN - 9781467357173

SP - 3134

EP - 3139

BT - 2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013

PB - Institute of Electrical and Electronics Engineers Inc.

ER -