Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Distributed LQR Design for Multi-Agent Formations

dc.contributor.authorHuang, Huang
dc.contributor.authorYu, Changbin (Brad)
dc.contributor.authorWu, Qinghe
dc.coverage.spatialAtlanta USA
dc.date.accessioned2015-12-10T22:58:13Z
dc.date.createdDecember 15-17 2010
dc.date.issued2010
dc.date.updated2016-02-24T11:01:55Z
dc.description.abstractIn this paper we study the optimal formation control of multiple agents whose communication topology as well as the interaction parameters is tunable upon a cost function consisting of both control energy and formation indicator. The determination of interaction parameters is accompanied by the design of linear quadratic regulation(LQR) controllers which are distributed ones. When extending the results to systems with multiple agents, it is sufficient that the underlying graph of the cost matrix has an unrooted tree or the directed underlying graph is persistent. Numerical examples are provided to illustrate the effectiveness of the method.
dc.identifier.isbn9781424477449
dc.identifier.urihttp://hdl.handle.net/1885/60761
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE Conference on Decision and Control 2010
dc.sourceIEEE Conference on Decision and Control 2010 Proceedings
dc.subjectKeywords: Communication topologies; Control energy; Cost matrices; Formation control; Interaction parameters; Linear quadratic regulations; Multi-Agent; Multiple agents; Numerical example; Underlying graphs; Numerical methods; Trees (mathematics)
dc.titleDistributed LQR Design for Multi-Agent Formations
dc.typeConference paper
local.bibliographicCitation.lastpage4540
local.bibliographicCitation.startpage4535
local.contributor.affiliationHuang, Huang, College of Engineering and Computer Science, ANU
local.contributor.affiliationYu, Changbin (Brad), College of Engineering and Computer Science, ANU
local.contributor.affiliationWu, Qinghe, Beijing Institute of Technology
local.contributor.authoruidHuang, Huang, u4811028
local.contributor.authoruidYu, Changbin (Brad), u4168516
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080101 - Adaptive Agents and Intelligent Robotics
local.identifier.absseo890199 - Communication Networks and Services not elsewhere classified
local.identifier.ariespublicationu4334215xPUB561
local.identifier.doi10.1109/CDC.2010.5716988
local.identifier.scopusID2-s2.0-79953150915
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
01_Huang_Distributed_LQR_Design_for_2010.pdf
Size:
289.25 KB
Format:
Adobe Portable Document Format