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Gradient-Like Observers for Invariant Dynamics on a Lie Group

dc.contributor.authorLageman, Christian
dc.contributor.authorTrumpf, Jochen
dc.contributor.authorMahony, Robert
dc.date.accessioned2015-12-10T22:51:30Z
dc.date.issued2010
dc.date.updated2016-02-24T11:01:13Z
dc.description.abstractThis paper proposes a design methodology for non-linear state observers for invariant kinematic systems posed on finite dimensional connected Lie groups, and studies the associated fundamental system structure. The concept of synchrony of two dynamical systems is specialized to systems on Lie groups. For invariant systems this leads to a general factorization theorem of a nonlinear observer into a synchronous (internal model) term and an innovation term. The synchronous term is fully specified by the system model. We propose a design methodology for the innovation term based on gradient-like terms derived from invariant or non-invariant cost functions. The resulting nonlinear observers have strong (almost) global convergence properties and examples are used to demonstrate the relevance of the proposed approach.
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/1885/59072
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Automatic Control
dc.subjectKeywords: Design Methodology; Factorization theorems; Finite dimensional; Global convergence; Gradient systems; Gradient-like; Internal models; Invariant dynamics; Invariant systems; Kinematic systems; Lie group; Non-linear observer; Nonlinear state; System models; Gradient systems; Lie groups; Observers; Synchrony
dc.titleGradient-Like Observers for Invariant Dynamics on a Lie Group
dc.typeJournal article
local.bibliographicCitation.issue2
local.bibliographicCitation.lastpage377
local.bibliographicCitation.startpage367
local.contributor.affiliationLageman, Christian, Universite de Liege
local.contributor.affiliationTrumpf, Jochen, College of Engineering and Computer Science, ANU
local.contributor.affiliationMahony, Robert, College of Engineering and Computer Science, ANU
local.contributor.authoruidTrumpf, Jochen, u4056317
local.contributor.authoruidMahony, Robert, u4033888
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB472
local.identifier.citationvolume55
local.identifier.doi10.1109/TAC.2009.2034937
local.identifier.scopusID2-s2.0-76949085948
local.identifier.thomsonID000274383400006
local.type.statusPublished Version

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