Performance Comparison between Complex Non-Linear Least Squares and Genetic Algorithms in Impedance Circuit Parameter Estimation

dc.contributor.authorJaneiro, Fernando M.
dc.contributor.authorRamos, Pedro M.
dc.date.accessioned2016-01-27T15:06:53Z
dc.date.available2016-01-27T15:06:53Z
dc.date.issued2015-09
dc.description.abstractElectric circuit parameter estimation from its impedance frequency response is becoming increasingly important due to the wide range of applications that it finds both in science and industry. This paper presents a comparison of the performance of a genetic algorithm and the complex non-linear least squares implemented in the LEVM/LEVMW software in the estimation of impedance circuit parameters. The comparison is focused on the standard deviation of the estimated values, convergence rate and execution time of each algorithm.por
dc.identifier.authoremailfmtj@uevora.pt
dc.identifier.authoremailnd
dc.identifier.localPrague, Czech Republic
dc.identifier.pagina4
dc.identifier.scientificarea496por
dc.identifier.sharewithDFISpor
dc.identifier.urihttp://hdl.handle.net/10174/16903
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationnaopor
dc.identifier.withpostersimpor
dc.language.isoengpor
dc.publisherXXI IMEKO World Congresspor
dc.rightsrestrictedAccesspor
dc.subjectgenetic algorithmspor
dc.subjectcomplex non-linear least squarespor
dc.subjectimpedance parameter estimationpor
dc.titlePerformance Comparison between Complex Non-Linear Least Squares and Genetic Algorithms in Impedance Circuit Parameter Estimationpor
dc.typelecturepor

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