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Development of redundant rigidity theory for formation control

dc.contributor.authorYu, Changbin (Brad)
dc.contributor.authorAnderson, Brian
dc.date.accessioned2015-12-10T22:16:50Z
dc.date.issued2009
dc.date.updated2016-02-24T10:59:13Z
dc.description.abstractMultiagent formation control may proceed by ensuring that designated pairs of agents maintain a specified distance between each other, in order that the overall shape of the formation can be preserved while it translates or rotates. A minimally rigid formation is one in which loss of any one such constraint or link means that individual agent motions can occur, which do not preserve the shape of the formation. Recognizing that real-world formations may suffer link loss and even agent loss, this paper presents a systematic approach to defining a measure for redundant or nonminimal rigidity, which is the property that formation shape will still be preserved in the face of loss of a certain designated number of distance constraints or formation agents. Most of the results are concerned with advancing a deterministic measure, but this paper also indicates circumstances under which a statistical measure may be relevant. For illustration, the paper analyses a number of standard formations to establish their levels of redundancy.
dc.identifier.issn1049-8923
dc.identifier.urihttp://hdl.handle.net/1885/51125
dc.publisherJohn Wiley & Sons Inc
dc.sourceInternational Journal of Robust and Nonlinear Control
dc.subjectKeywords: Distance constraints; Formation control; Graph connectivity; Graph rigidity; Individual agent; Link loss; Multi-Agent; Real-world; Rigid formations; Robustness; Statistical measures; Quality assurance; Redundancy; Rigidity; Robustness (control systems); G Formation control; Graph connectivity; Graph rigidity; Redundancy; Robustness
dc.titleDevelopment of redundant rigidity theory for formation control
dc.typeJournal article
local.bibliographicCitation.issue13
local.bibliographicCitation.lastpage1446
local.bibliographicCitation.startpage1427
local.contributor.affiliationYu, Changbin (Brad), College of Engineering and Computer Science, ANU
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
local.contributor.authoruidYu, Changbin (Brad), u4168516
local.contributor.authoruidAnderson, Brian, u8104642
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.ariespublicationu4334215xPUB217
local.identifier.citationvolume19
local.identifier.doi10.1002/rnc.1386
local.identifier.scopusID2-s2.0-69149109467
local.identifier.thomsonID000268519400002
local.type.statusPublished Version

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