dc.creatorDelai, A
dc.creatorBravo, I
dc.creatorde Oliveira, JR
dc.creatorGarcia, JC
dc.creatorOlivares, J
dc.date2014
dc.date2014-07-30T13:48:39Z
dc.date2015-11-26T18:01:51Z
dc.date2014-07-30T13:48:39Z
dc.date2015-11-26T18:01:51Z
dc.date.accessioned2018-03-29T00:43:30Z
dc.date.available2018-03-29T00:43:30Z
dc.identifierElektronika Ir Elektrotechnika. Kaunas Univ Technology, v. 20, n. 3, n. 52, n. 58, 2014.
dc.identifier1392-1215
dc.identifierWOS:000333396800010
dc.identifier10.5755/j01.eee.20.3.2708
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/54396
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/54396
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1292086
dc.descriptionIn this work, an evolvable hardware technique has been applied to a real control environment composed by a damped pendulum. A combinatorial 4 bit circuit input/output driver design by genetic algorithms will be implemented in an Altera Cyclone II FPGA, aiming to prove the efficiency of the evolvable design. A proportional driver tuned by a genetic algorithm (Kp-AG) was also implemented and subjected to the same tests to compare their performance against the Evolvable Hardware design. Experiments use a square reference signal to force overshoot errors, and, a sinusoidal signal to sample the response for both drivers. The results obtained by the experiments show that the evolutionary approach to design drivers can be competitive and improve considerably the control in this particular case of nonlinear control using low resolution feedback information.
dc.description20
dc.description3
dc.description52
dc.description58
dc.descriptionUniversity of Alcala [CCG2013/EXP-064]
dc.descriptionSpanish and Brazilian Program through EINTA project [PHB2006-0077-PC]
dc.descriptionUniversity of Alcala [CCG2013/EXP-064]
dc.descriptionSpanish and Brazilian Program through EINTA project [PHB2006-0077-PC]
dc.languageen
dc.publisherKaunas Univ Technology
dc.publisherKaunas
dc.publisherLituãnia
dc.relationElektronika Ir Elektrotechnika
dc.relationElektron. Elektrotech.
dc.rightsfechado
dc.sourceWeb of Science
dc.subjectFPGA
dc.subjectevolvable hardware
dc.subjectgenetic algorithm
dc.subjectnonlinear pendulum
dc.titleAn Evolvable Driver for a Non-Linear Damped Pendulum
dc.typeArtículos de revistas


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