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Coping with singular transition matrices in estimation and control stability theory

dc.contributor.authorMoore, J. B.en
dc.contributor.authorAnderson, B. D.en
dc.date.accessioned2025-03-27T01:24:10Z
dc.date.available2025-03-27T01:24:10Z
dc.date.issued1980en
dc.description.abstractWhen stabilizing linear discrete-time finite dimensional systems in control and estimation either optimally or suboptimally, technical difficulties arise in the conventional stability theories for coping with state transition matrices which are permitted to be singular or with eigenvalues arbitrarily small. In overcoming these difficulties, earlier results for feedback stabilization of linear systems and for Kalman filters and regulators are generalized in this paper, with proofs being in fact more direct than those explored earlier.en
dc.description.statustrueen
dc.format.extent16en
dc.identifier.otherScopus:0018996803en
dc.identifier.urihttps://dspace-test.anu.edu.au/handle/1885/733740738
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=0018996803&partnerID=8YFLogxKen
dc.language.isoEnglishen
dc.sourceInternational Journal of Controlen
dc.titleCoping with singular transition matrices in estimation and control stability theoryen
dc.typeArticleen
local.bibliographicCitation.lastpage586en
local.bibliographicCitation.startpage571en
local.contributor.affiliationMoore, J. B.; University of Newcastleen
local.contributor.affiliationAnderson, B. D.; University of Newcastleen
local.identifier.citationvolume31en
local.identifier.doi10.1080/00207178008961063en
local.identifier.pure5c24c80b-250e-4429-b618-ee41d73e657ben
local.type.statusPublisheden

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