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 -