A distributed proximal-point algorithm for nash equilibrium seeking in generalized potential games with linearly coupled cost functions

Giuseppe Belgioioso, Sergio Grammatico

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10 Citations (Scopus)

Abstract

We address the generalized Nash equilibrium seeking problem for a population of noncooperative agents playing potential games with linear coupling constraints over a communication network. We consider a class of generalized potential games where the coupling in the cost functions of the agents is linear, i.e., J{i}(x{i}, x{-i}): =f{i}(x{i})+ ell{i}(x{-i}){ top}x{i} where ell{i} is linear. By exploiting this special structure, we design a distributed algorithm with convergence guarantee under mild assumptions, i.e., (non-strict) monotonicity of the pseudo-subdifferential mapping. The potential of the proposed algorithm is shown via numerical simulations on a networked Nash Cournot game, where we observe faster convergence with respect to standard projected pseudo-gradient algorithms.

Original languageEnglish
Title of host publication2019 18th European Control Conference, ECC 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages3390-3395
Number of pages6
ISBN (Electronic)978-3-907144-00-8
DOIs
Publication statusPublished - 1 Jun 2019
Event18th European Control Conference, ECC 2019 - Naples, Italy, Naples, Italy
Duration: 25 Jun 201928 Jun 2019
Conference number: 18
https://www.ifac-control.org/events/european-control-conference-in-cooperation-with-ifac-ecc-2019

Conference

Conference18th European Control Conference, ECC 2019
Abbreviated titleECC 2019
Country/TerritoryItaly
CityNaples
Period25/06/1928/06/19
Other18th European Control Conference (ECC 2019) (in cooperation with IFAC)
Internet address

Funding

G. Belgioioso is with the Control Systems group, TU Eindhoven, The Netherlands. S. Grammatico is with the Delft Center for Systems and Control (DCSC), TU Delft, The Netherlands. E-mail addresses: [email protected], [email protected]. This work was partially supported by NWO under research projects OMEGA (grant n. 613.001.702), P2P-TALES (grant n. 647.003.003), and by the ERC under research project COSMOS (802348).

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