Asymptotically optimal decentralized control for a class of multi-agent systems

  • Tao Li*
  • , Ji Feng Zhang
  • *Corresponding author for this work

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

3 Scopus citations

Abstract

The concept of asymptotic Nash-equilibria with respect to stochastic performance index is introduced, a decentralized control law is constructed for Large Population Dynamic Multi-Agent Systems (LPDMAS) with costcoupled stochastic preformance indexes by using the state aggregation method. By the limit probability theory, it is shown that the closed-loop system is almost surely uniformly stable, and the control law is asymptotically optimal.

Original languageEnglish
Title of host publication2006 Chinese Control Conference Proceedings, CCC 2006
Pages346-351
Number of pages6
DOIs
StatePublished - 2007
Externally publishedYes
Event25th Chinese Control Conference, CCC 2006 - Harbin, China
Duration: 7 Aug 200611 Aug 2006

Publication series

Name2006 Chinese Control Conference Proceedings, CCC 2006

Conference

Conference25th Chinese Control Conference, CCC 2006
Country/TerritoryChina
CityHarbin
Period7/08/0611/08/06

Keywords

  • Asymptotic Nash-equilibria
  • Decentralized control
  • Multi-agent systems
  • Stochastic differential game
  • Stochastic performance index

Fingerprint

Dive into the research topics of 'Asymptotically optimal decentralized control for a class of multi-agent systems'. Together they form a unique fingerprint.

Cite this