Neural predictive control of broiler chicken growth

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dc.contributor.authorDemmers, Theo G. M.
dc.contributor.authorCao, Yi
dc.contributor.authorGauss, Sophie
dc.contributor.authorLowe, John C.
dc.contributor.authorParsons, David J.
dc.contributor.authorWathes, Christopher M.
dc.date.accessioned2019-04-11T15:40:09Z
dc.date.available2019-04-11T15:40:09Z
dc.date.issued2010-12-31
dc.description.abstractActive control of the growth of broiler chickens has potential benefits for farmers in terms of improved production efficiency, as well as for animal welfare in terms of improved leg health. In this work, a differential recurrent neural network (DRNN) was identified from experimental data to represent broiler chicken growth using a recently developed nonlinear system identification algorithm. The DRNN model was then used as the internal model for nonlinear model predicative control (NMPC) to achieve a group of desired growth curves. The experimental results demonstrated that the DRNN model captured the underlying dynamics of the broiler growth process reasonably well. The DRNN based NMPC was able to specify feed intakes in real time so that the broiler weights accurately followed the desired growth curves ranging from $-12%$ to +12% of the standard curve. The overall mean relative error between the desired and achieved broiler weight was 1.8% for the period from day 12 to day 51.en_UK
dc.identifier.citationDemmers TGM, Cao Y, Gauss S, et al., Neural predictive control of broiler chicken growth. IFAC Proceedings Volumes, Volume 43, Issue 6, 2010, pp. 311-316en_UK
dc.identifier.issn1474-6670
dc.identifier.urihttps://doi.org/10.3182/20100707-3-BE-2012.0061
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14064
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredictive Controlen_UK
dc.subjectBroileren_UK
dc.subjectGrowthen_UK
dc.subjectOptimal Controlen_UK
dc.subjectSystem Identificationen_UK
dc.subjectNeural Network Modelsen_UK
dc.titleNeural predictive control of broiler chicken growthen_UK
dc.typeArticleen_UK

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