Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/16903

Title: Performance Comparison between Complex Non-Linear Least Squares and Genetic Algorithms in Impedance Circuit Parameter Estimation
Authors: Janeiro, Fernando M.
Ramos, Pedro M.
Keywords: genetic algorithms
complex non-linear least squares
impedance parameter estimation
Issue Date: Sep-2015
Publisher: XXI IMEKO World Congress
Abstract: Electric 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.
URI: http://hdl.handle.net/10174/16903
Type: lecture
Appears in Collections:FIS - Comunicações - Em Congressos Científicos Internacionais
CEM - Comunicações - Em Congressos Científicos Internacionais

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