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dc.contributor.authorCalvo Rolle, José L.
dc.contributor.authorCouce, A.
dc.contributor.authorCorchado Rodríguez, Emilio Santiago 
dc.contributor.authorSánchez, Miguel A.
dc.contributor.authorGil González, Ana Belén 
dc.date.accessioned2017-09-06T09:14:49Z
dc.date.available2017-09-06T09:14:49Z
dc.date.issued2010/12
dc.identifier.citationNature and Biologically Inspired Computing (NaBIC), 2010 Second World Congress on. pp. 430 - 436.
dc.identifier.isbn978-1-4244-7377-9
dc.identifier.urihttp://hdl.handle.net/10366/134917
dc.description.abstractThis study presents a novel bio-inspired method, based on gain scheduling, for the calculation of Proportional-Integral-Derivative (PID) controller parameters that will prevent system instability. The aim is to prevent a transition to control system instability due to undesirable controller parameters that may be introduced manually by an operator. Each significant operation point in the system is firstly identified. Then, a solid stability structure is calculated, using transfer functions, in order to program a bio-inspired model by using an artificial neural network. The novel method is empirically verified under working conditions in 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-knowledge based method to prevent control system instability
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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Attribution-NonCommercial-NoDerivs 3.0 Unported
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Unported