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Finite-dimensional risk-sensitive filters and smoothers for nonlinear discrete-time systems

dc.contributor.authorDey, S
dc.contributor.authorMoore, John
dc.date.accessioned2015-12-13T23:35:30Z
dc.date.available2015-12-13T23:35:30Z
dc.date.issued1999
dc.date.updated2015-12-12T09:40:14Z
dc.description.abstractFinite-dimensional optimal risk-sensitive filters and smoothers are obtained for discrete-time nonlinear systems by adjusting the standard exponential of a quadratic risk-sensitive cost index to one involving the plant nonlinearity. It is seen that these
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/1885/93943
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Automatic Control
dc.subjectKeywords: Control nonlinearities; Discrete time control systems; Error analysis; Optimal control systems; Parameter estimation; Signal filtering and prediction; Finite dimensional filters; Minimum variance estimation; Quadratic risk sensitive cost index; Risk sensi
dc.titleFinite-dimensional risk-sensitive filters and smoothers for nonlinear discrete-time systems
dc.typeJournal article
local.bibliographicCitation.issue6
local.bibliographicCitation.lastpage548
local.bibliographicCitation.startpage544
local.contributor.affiliationDey, S, College of Engineering and Computer Science, ANU
local.contributor.affiliationMoore, John, College of Engineering and Computer Science, ANU
local.contributor.authoruidDey, S, u930981
local.contributor.authoruidMoore, John, u8202879
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublicationMigratedxPub25381
local.identifier.citationvolume44
local.identifier.doi10.1109/9.769381
local.identifier.scopusID2-s2.0-0032626127
local.type.statusPublished Version

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