Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies

Deyuan Meng, Yingmin Jia, Junping Du, Jun Zhang, Wenling Li

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

3 Citations (Scopus)

Abstract

In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.

Original languageEnglish
Title of host publication2013 American Control Conference, ACC 2013
Pages5165-5170
Number of pages6
Publication statusPublished - 2013
Externally publishedYes
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: 17 Jun 201319 Jun 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2013 1st American Control Conference, ACC 2013
Country/TerritoryUnited States
CityWashington, DC
Period17/06/1319/06/13

Keywords

  • ILC
  • Multi-agent systems
  • formation
  • learning algorithms
  • switching topologies

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