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Comparison of different state estimator algorithms applied to a simulated anaerobic digestion reactor

dc.contributor.authorAttar, Shadi
dc.contributor.authorHaugen, Finn
dc.date.accessioned2019-01-23T13:02:33Z
dc.date.available2019-01-23T13:02:33Z
dc.date.created2018-12-04T18:01:11Z
dc.date.issued2018
dc.identifier.citationLinköping Electronic Conference Proceedings. 2018, (153), 118-125.nb_NO
dc.identifier.issn1650-3686
dc.identifier.urihttp://hdl.handle.net/11250/2581943
dc.description.abstractThis study deals with a simulator-based comparison of different state estimators of an anaerobic digestion process. A simulated biogas reactor based on the AM2 model is considered. Extended Kalman Filter, Unscented Kalman Filter, Particle Filter and Moving Horizon Estimator are four state estimators studied. The investigation is on both states and parameters estimation. The maximum number of parameters can be estimated equals the number of the measurement.nb_NO
dc.description.abstractComparison of different state estimator algorithms applied to a simulated anaerobic digestion reactornb_NO
dc.language.isoengnb_NO
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.no*
dc.titleComparison of different state estimator algorithms applied to a simulated anaerobic digestion reactornb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber118-125nb_NO
dc.source.journalLinköping Electronic Conference Proceedingsnb_NO
dc.source.issue153nb_NO
dc.identifier.doi10.3384/ecp18153118
dc.identifier.cristin1639137
cristin.unitcode222,58,2,0
cristin.unitnameInstitutt for elektro, IT og kybernetikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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