Linear quadratic decentralized dynamic games for a class of discrete-time multi-agent systems

Ma Cuiqin, Li Tao

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

Abstract

In this paper, decentralized games of discrete-time large population stochastic multi-agent systems are considered under a coupled quadratic performance index. Based on the state aggregation method, the estimate of the population state average is constructed, with which and the Nash certainty equivalence principle, the decentralized control law is designed. By the probability limit theory, the stability and optimality of closed-loop system is analyzed. The main results are: 1) The estimate of the population state average is shown to be strongly consistent in some norm sense, which implies that the estimation error is convergent to zero almost surely as the number of agents increases to infinity. 2) The closed-loop system is almost surely uniformly stable, in other words, the stability is independent of the number of agents. 3) The decentralized control law is almost surely asymptotically optimal in the sense of Nash equilibrium.

Original languageEnglish
Title of host publicationProceedings of the 26th Chinese Control Conference, CCC 2007
Pages517-521
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
Event26th Chinese Control Conference, CCC 2007 - Zhangjiajie, China
Duration: 26 Jul 200731 Jul 2007

Publication series

NameProceedings of the 26th Chinese Control Conference, CCC 2007

Conference

Conference26th Chinese Control Conference, CCC 2007
Country/TerritoryChina
CityZhangjiajie
Period26/07/0731/07/07

Keywords

  • Asymptotic nash equilibrium
  • Decentralized control
  • Discrete time system
  • Multi-agent systems
  • Stochastic dynamic game

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