Abstract
We show that projected-gradient methods for the distributed computation of generalized Nash equilibria in ag- gregative games are preconditioned forward-backward splitting methods appliedto the KKT operator of the game. Specifically, we adopt the preconditioned forward-backward design, recently conceived by Yi and Pavel in the manuscript ’’A distributed primal-dual algorithm for computation of generalized Nash equilibria via operator splitting methods’’ for generalized Nash equilibrium seeking in aggregative games. Consequently, we notice that two projected-gradient methods recently proposed in the literature are preconditioned forward-backward meth- ods. More generally, we provide a unifying operator-theoretic ground to design projected-gradient methods for generalized equilibrium seeking in aggregative games.
Original language | English |
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Title of host publication | Proceedings of 2018 European Control Conference (ECC2018) |
Place of Publication | Piscataway, NJ, USA |
Publisher | IEEE |
Pages | 2188-2193 |
ISBN (Print) | 978-3-9524-2699-9 |
DOIs | |
Publication status | Published - 2018 |
Event | 16th European Control Conference, ECC 2018 - Limassol, Cyprus Duration: 12 Jun 2018 → 15 Jun 2018 http://www.ecc18.eu/ |
Conference
Conference | 16th European Control Conference, ECC 2018 |
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Abbreviated title | ECC 2018 |
Country/Territory | Cyprus |
City | Limassol |
Period | 12/06/18 → 15/06/18 |
Internet address |
Keywords
- Games
- Nash equilibrium
- Couplings
- Convergence
- Cost function
- Design methodology