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dc.contributor.authorDemirbaş, K.en_US
dc.date.accessioned2019-02-20T12:26:43Zen_US
dc.date.available2019-02-20T12:26:43Zen_US
dc.date.issued1990en_US
dc.identifier.issn0016-0032en_US
dc.identifier.urihttp://hdl.handle.net/11693/49622en_US
dc.description.abstractTime-varying finite state models and interpolating functions are used to estimate the states of nonlinear discrete dynamic models with nonlinear interference and missing observations. State estimation is carried out in blocks so that its implementation requires a constant memory.en_US
dc.language.isoEnglishen_US
dc.source.titleJournal of the Franklin Instituteen_US
dc.relation.isversionofhttps://doi.org/10.1016/0016-0032(90)90013-9en_US
dc.titleState smoothing and filtering using a constant memory for dynamic systems with nonlinear interference and missing observations.en_US
dc.typeArticleen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage503en_US
dc.citation.epage511en_US
dc.citation.volumeNumber327en_US
dc.citation.issueNumber3en_US
dc.identifier.doi10.1016/0016-0032(90)90013-9en_US
dc.publisherElsevieren_US


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