Time-Varying Constrained Proximal Type Dynamics in Multi-Agent Network Games

Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper, we study multi-agent network games subject to affine time-varying coupling constraints and a time-varying communication network. We focus on the class of games adopting proximal dynamics and study their convergence to a persistent equilibrium. The assumptions considered to solve the problem are discussed and motivated. We develop an iterative equilibrium seeking algorithm, using only local information, that converges to a special class of game equilibria. Its derivation is motivated by several examples, showing that the original game dynamics fail to converge. Finally, we apply the designed algorithm to solve a constrained consensus problem, illustrating the theoretical results.
Original languageEnglish
Title of host publication2020 European Control Conference (ECC)
PublisherIEEE
DOIs
Publication statusPublished - 2020
Event2020 European Control Conference (ECC) - Saint Petersburg, Russian Federation
Duration: 12-May-202015-May-2020

Conference

Conference2020 European Control Conference (ECC)
Country/TerritoryRussian Federation
CitySaint Petersburg
Period12/05/202015/05/2020

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