Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/3810
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dc.contributor.authorRomanenko, Andrei-
dc.contributor.authorCastro, José A. A. M.-
dc.date.accessioned2008-08-29T15:26:48Z-
dc.date.available2008-08-29T15:26:48Z-
dc.date.issued2004en_US
dc.identifier.citationComputers & Chemical Engineering. 28:3 (2004) 347-355en_US
dc.identifier.urihttp://hdl.handle.net/10316/3810-
dc.description.abstractThe Kalman filter has been widely used for estimation and tracking of linear systems since its formulation in 1960 due to its simplicity and robustness. In many chemical engineering applications the extended Kalman filter (EKF) is often used to deal with certain classes of nonlinear systems. In spite of that, designing an EKF for highly nonlinear processes is not a trivial task, particularly those involving highly exothermic reactions. In this work we compared the performance of a new technique, the unscented filter, with that of the extended Kalman filter. The unscented filter produced better results without performing potentially ill-conditioned numerical calculations and linearly approximating the evolution of the state vector covariance.en_US
dc.description.urihttp://www.sciencedirect.com/science/article/B6TFT-49KGYK2-1/1/bbeb46a5d038764f7d53f1d3d8869f71en_US
dc.format.mimetypeaplication/PDFen
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectNonlinear dynamicsen_US
dc.subjectMathematical modelingen_US
dc.subjectSimulationen_US
dc.subjectNonlinear state estimationen_US
dc.subjectExtended Kalman filteren_US
dc.subjectUnscented filteren_US
dc.titleThe unscented filter as an alternative to the EKF for nonlinear state estimation: a simulation case studyen_US
dc.typearticleen_US
dc.identifier.doi10.1016/S0098-1354(03)00193-5-
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.languageiso639-1en-
Appears in Collections:FCTUC Eng.Química - Artigos em Revistas Internacionais
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