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Component Value Selection for Analog Active Filter Using Particle Swarm Optimization

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dc.contributor.authorVural, Revna Acar
dc.contributor.authorYildirim, Tulay
dc.contributor.institutionauthorYILDIRIM, Tülay
dc.date.accessioned2026-06-27T12:51:19Z
dc.date.issued2010
dc.description.abstractIn this work, a PSO based component value selection method is proposed for analog active filter. PSO is an efficient intelligent evolutionary algorithm for solving optimization problems. The aim of this work is to minimize the total design error of a 4(th) order Butterworth low pass active filter that would be realized with component values which are compatible with E12 series. PSO provides a maximally flat response in the pass band and achieves smaller design error compared with previous methods.en
dc.description.urihttps://doi.org/10.1109/iccae.2010.5452009
dc.identifier.doi10.1109/iccae.2010.5452009
dc.identifier.endpage28
dc.identifier.isbn978-1-4244-5569-0
dc.identifier.issn2154-4352
dc.identifier.startpage25
dc.identifier.urihttps://hdl.handle.net/20.500.14981/47446
dc.identifier.wos000397216200006
dc.language.isoeng
dc.publisherIEEE
dc.relation.conference2nd International Conference on Computer and Automation Engineering (ICCAE)
dc.relation.ispartof2010 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2010), VOL 1
dc.subjectparticle swarm optimization
dc.subjectcomputational intelligence
dc.subjectautomated filter design
dc.subjectAutomation & Control Systems
dc.subjectComputer Science
dc.subjectEngineering
dc.titleComponent Value Selection for Analog Active Filter Using Particle Swarm Optimization
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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