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eess.SY2021
Learning generalized Nash equilibria in monotone games: A hybrid adaptive extremum seeking control approach
Suad Krilašević, Sergio Grammatico
In this paper, we solve the problem of learning a generalized Nash equilibrium (GNE) in merely monotone games. First, we propose a novel continuous semi-decentralized solution algo…
eess.SY2021
An extremum seeking algorithm for monotone Nash equilibrium problems
Suad Krilašević, Sergio Grammatico
In this paper we consider the problem of finding a Nash equilibrium (NE) via zeroth-order feedback information in games with merely monotone pseudogradient mapping. Based on hybrid…
eess.SY2020
Learning generalized Nash equilibria in multi-agent dynamical systems via extremum seeking control
Suad Krilašević, Sergio Grammatico
In this paper, we consider the problem of learning a generalized Nash equilibrium (GNE) in strongly monotone games. First, we propose a novel continuous-time solution algorithm tha…