Distributed Nash Equilibrium Seeking for Aggregative Games with Mismatched Disturbances
Qi Wang, Feng Xiao, Bo Wei
Abstract
Qi Wang, Feng Xiao, Bo Wei
Abstract
In this paper, we focus on the distributed Nash equilibrium seeking problem for aggregative games for players described by double-integrator dynamics. Each player in the game is subject to unknown mismatched time-varying disturbances. To solve the Nash equilibrium seeking problem with mismatched disturbances, a distributed Nash equilibrium seeking algorithm is proposed. In aggregative games, the proposed algorithm guarantees the convergence of strategies of players to the Nash equilibrium of aggregative games and suppresses the influence of mismatched disturbances.
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In this paper, we focus on the distributed Nash equilibrium seeking problem for aggregative games for players described by double-integrator dynamics. Each player in the game is subject to unknown mismatched time-varying disturbances. To solve the Nash equilibrium seeking problem with mismatched disturbances, a distributed Nash equilibrium seeking algorithm is proposed. In aggregative games, the proposed algorithm guarantees the convergence of strategies of players to the Nash equilibrium of aggregative games and suppresses the influence of mismatched disturbances.
Key concepts: Nash equilibrium, Epsilon-equilibrium, Best response, Mathematical economics, Solution concept, Equilibrium selection, Convergence (economics), Correlated equilibrium