A Soft Sensor for Biomass in a Batch Process with Delayed Measurements

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dc.contributor.authorIsaza, Jhon A.
dc.contributor.authorSánchez-Torres, Juan D.
dc.contributor.authorJiménez-Rodríguez, Esteban
dc.contributor.authorBotero-Castro, Héctor
dc.date.accessioned2017-03-03T19:07:57Z
dc.date.available2017-03-03T19:07:57Z
dc.date.issued2016-10
dc.descriptionThis paper presents a soft sensor to estimate the biomass concentration in a batch bioprocess used in production of δ-endotoxins of Bacillus thuringiensis, subject to delayed measurements. The soft sensor proposed is based on a cascade observer-predictor algorithm. The observer stage is based on a class of second order sliding mode algorithms, allowing a fixed time estimation of the biomass. Additionally, the prediction stage offsets the effect of the delay in measurements. Simulations show the feasibility of the proposed observer.es
dc.description.sponsorshipUniversidad Nacional de Colombiaes
dc.description.sponsorshipCINVESTAV-IPNes
dc.description.sponsorshipITESO, A.C.es
dc.identifier.citationIsaza, J.A.; Sánchez-Torres, J.D.; Jiménez-Rodrıguez, E. and Botero-Castro, H. "A Soft Sensor for Biomass in a Batch Process with Delayed Measurements". XVII Latin American Conference of Automatic Control, IFAC, Medellín, Colombia, 2016, pp. 334--339.es
dc.identifier.urihttp://hdl.handle.net/11117/4258
dc.language.isoenges
dc.publisherInternational Federation of Automatic Controles
dc.relation.ispartofseriesLatin American Conference of Automatic Control;XVII
dc.rights.urihttp://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfes
dc.subjectState observeres
dc.subjectChemical processes
dc.subjectDelayed measurementses
dc.titleA Soft Sensor for Biomass in a Batch Process with Delayed Measurementses
dc.typeinfo:eu-repo/semantics/conferencePaperes
rei.peerreviewedYeses
rei.revisorQuintero, Olga L.

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