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dc.contributor.authorSyaffie, S.-
dc.contributor.authorTadeo, Fernando-
dc.contributor.authorVillafín, Marcos-
dc.contributor.authorAlonso, Antonio A.-
dc.date.accessioned2012-01-19T09:14:27Z-
dc.date.available2012-01-19T09:14:27Z-
dc.date.issued2011-01-
dc.identifier.citationISA Transactions 50(1): 82-90 (2011)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/44461-
dc.description.abstractA control technique based on Reinforcement Learning is proposed for the thermal sterilization of canned foods. The proposed controller has the objective of ensuring a given degree of sterilization during Heating (by providing a minimum temperature inside the cans during a given time) and then a smooth Cooling, avoiding sudden pressure variations. For this, three automatic control valves are manipulated by the controller: a valve that regulates the admission of steam during Heating, and a valve that regulate the admission of air, together with a bleeder valve, during Cooling. As dynamical models of this kind of processes are too complex and involve many uncertainties, controllers based on learning are proposed. Thus, based on the control objectives and the constraints on input and output variables, the proposed controllers learn the most adequate control actions by looking up a certain matrix that contains the state-action mapping, starting from a preselected state-action space. This state-action matrix is constantly updated based on the performance obtained with the applied control actions. Experimental results at laboratory scale show the advantages of the proposed technique for this kind of processes.es_ES
dc.description.sponsorshipThis work has been funded by projects AGL2008-05267-C03-01 and DPI2007-66718-C04-02.es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsopenAccesses_ES
dc.subjectIntelligent process controles_ES
dc.subjectSterilization processes_ES
dc.subjectFood processes_ES
dc.subjectBatch processes_ES
dc.subjectReinforcement learninges_ES
dc.titleLearning control for batch thermal sterilization of canned foodses_ES
dc.typeArtículoes_ES
dc.identifier.doi10.1016/j.isatra.2010.08.001-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.isatra.2010.08.001es_ES
dc.identifier.e-issn0019-0578-
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