Learning generalized Nash equilibria in multi-agent dynamical systems via extremum seeking control
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Publication:2065184
DOI10.1016/j.automatica.2021.109846zbMath1480.93021arXiv2007.11437OpenAlexW3190641237MaRDI QIDQ2065184
Sergio Grammatico, Suad Krilašević
Publication date: 7 January 2022
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.11437
Applications of game theory (91A80) Nonlinear systems in control theory (93C10) Multi-agent systems (93A16)
Related Items (5)
Generalized Nash equilibrium seeking for networked noncooperative games with a dynamic event-triggered mechanism ⋮ Distributed Nash equilibrium seeking with order-reduced dynamics based on consensus exact penalty ⋮ Learning generalized Nash equilibria in monotone games: a hybrid adaptive extremum seeking control approach ⋮ Corrigendum to: ``Stochastic generalized Nash equilibrium seeking under partial-decision information ⋮ Dynamic generalized Nash equilibrium seeking for \(N\)-coalition noncooperative games
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