Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks: A hybrid systems approach. (December 2020)

• Record Type: Journal Article
• Authors: Wang, Xue-Fang; Sun, Xi-Ming; Teel, Andrew R.; Liu, Kun-Zhi
• Is Part Of: Automatica. Volume 122(2020)
• Publication Date: 2020-12
• Subjects: Aggregative games -- Distributed robust Nash equilibrium seeking -- Disturbances and unmodeled terms -- Networked attacks -- Hybrid dynamical systems; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2020.109255
• Languages: English
• ISSNs: 0005-1098

Abstract

Abstract: An aggregative game involving double-integrator agents is investigated. In this game, the dynamics of all players are subjected to unknown time-varying disturbances and unmodeled terms, and are also influenced by networked attacks on the communication topology. To seek a Nash equilibrium for such games, a novel distributed robust Nash equilibrium seeking algorithm is proposed and the complete closed-loop system is modeled as a hybrid system using an average dwell-time automaton and a time-ratio monitor to constrain attacks. Then, to analyze stability for the proposed algorithm, a Lyapunov function is constructed and uniform asymptotic stability is obtained under a local Lipschitz assumption on the gradients of the payoff functions. In addition, global uniform asymptotic stability is obtained under a global Lipschitz assumption on the gradients. Finally, an example is used to illustrate the results.