Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/20067

Title: A Comparative Analysis Between Genetic Algorithms and Complex Nonlinear Least Squares on Electrical Impedance Characterization
Authors: Janeiro, Fernando M.
Ramos, Pedro M.
Keywords: genetic algorithms
complex nonlinear least squares
impedance characterization
electrical impedance spectroscopy
Issue Date: May-2016
Publisher: IEEE
Abstract: This paper compares the performance of the complex nonlinear least squares algorithm implemented in the LEVM/LEVMW software with the performance of a genetic algorithm in the characterization of an electrical impedance of known topology. The effect of the number of measured frequency points and of measurement uncertainty on the estimation of circuit parameters is presented. The analysis is performed on the equivalent circuit impedance of a humidity sensor.
URI: http://hdl.handle.net/10174/20067
Type: lecture
Appears in Collections:FIS - Comunicações - Em Congressos Científicos Internacionais
CEM - Comunicações - Em Congressos Científicos Internacionais

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