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dc.contributor.author de Battista, Hernán
dc.contributor.author Picó, Jesús
dc.contributor.author Garelli, Fabricio
dc.contributor.author Navarro, José Luis
dc.date.available 2019-07-29T22:16:56Z
dc.date.issued 2012-11
dc.identifier.citation de Battista, Hernán; Picó, Jesús; Garelli, Fabricio; Navarro, José Luis; Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms; Springer; Bioprocess And Biosystems Engineering; 35; 9; 11-2012; 1615-1625
dc.identifier.issn 1615-7591
dc.identifier.uri http://hdl.handle.net/11336/80532
dc.description.abstract This paper deals with the estimation of unknown signals in bioreactors using sliding observers. Particular attention is drawn to estimate the specific growth rate of microorganisms frommeasurement of biomass concentration. In a recent article, notions of high-order sliding modes have been used to derive a growth rate observer for batch processes. In this paperwe generalize and refine these preliminary results. We develop a new observer with a different error structure to copewith other types of processes. Furthermore,we show that these observers are equivalent, under coordinate transformations and time scaling, to the classical super-twisting differentiator algorithm, thus inheriting all its distinctive features. The new observers' family achieves convergence to timevarying unknown signals in finite time, and presents the best attainable estimation error order in the presence of noise. In addition, the observers are robust to modeling and parameter uncertainties since they are based on minimal assumptions on bioprocess dynamics. In addition, they have interesting applications in fault detection and monitoring. The observers performance in batch, fed-batch and continuous bioreactors is assessed by experimental data obtained from the fermentation of Saccharomyces Cerevisiae on glucose.
dc.format application/pdf
dc.language.iso eng
dc.publisher Springer
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject BIOPROCESS CONTROL
dc.subject BIOPROCESS OBSERVERS
dc.subject BIOREACTORS
dc.subject SLIDING MODES
dc.subject.classification Sistemas de Automatización y Control
dc.subject.classification Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification INGENIERÍAS Y TECNOLOGÍAS
dc.title Reaction rate reconstruction from biomass concentration measurement in bioreactors using modified second-order sliding mode algorithms
dc.type info:eu-repo/semantics/article
dc.type info:ar-repo/semantics/artículo
dc.type info:eu-repo/semantics/publishedVersion
dc.date.updated 2019-07-04T18:15:56Z
dc.identifier.eissn 1615-7605
dc.journal.volume 35
dc.journal.number 9
dc.journal.pagination 1615-1625
dc.journal.pais Alemania
dc.journal.ciudad Berlín
dc.description.fil Fil: de Battista, Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
dc.description.fil Fil: Picó, Jesús. Universidad Politécnica de Valencia; España
dc.description.fil Fil: Garelli, Fabricio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería. Departamento de Electrotecnia. Laboratorio de Electrónica Industrial, Control e Instrumentación; Argentina
dc.description.fil Fil: Navarro, José Luis. Universidad Politécnica de Valencia; España
dc.journal.title Bioprocess And Biosystems Engineering
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00449-012-0752-y
dc.relation.alternativeid info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00449-012-0752-y
dc.conicet.fuente individual


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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)