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A bio-inspired knowledge system for control tuning (BIO-KSY)
dc.contributor.authorCalvo Rolle, José L.
dc.contributor.authorFerreiro García, Ramón
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorHernández Ramos, Pedro 
dc.contributor.authorSánchez Sánchez, María Araceli 
dc.contributor.authorSánchez, Miguel A.
dc.contributor.authorPérez Delgado, María Luisa 
dc.date.accessioned2017-09-06T09:14:46Z
dc.date.available2017-09-06T09:14:46Z
dc.date.issued2011/10
dc.identifier.citationNature and Biologically Inspired Computing (NaBIC), 2011 Third World Congress on. pp. 600 - 607.
dc.identifier.isbn978-1-4577-1122-0
dc.identifier.urihttp://hdl.handle.net/10366/134911
dc.description.abstractThis study presents a novel bio-inspired knowledge system, based in closed loop tuning, for the calculation of the Proportional-Integral-Derivative (PID) controller parameters. The aim is to achieve automatically the best parameters according with the work point and the dynamics of the plant. For it, in our study, several typical expressions and systems have been taken into account to build the model. Each of these expressions is appropriated for a particular system. The novel method is empirically verified with a real dataset obtained by a liquid-level laboratory plant.
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherIEEE
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleA bio-inspired knowledge system for control tuning (BIO-KSY)
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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