IMPEDANCE CIRCUIT IDENTIFICATION THROUGH EVOLUTIONARY ALGORITHMS

Impedance circuit identification through spectroscopy is used to characterize sensors. When the circuit topology is known, genetic algorithms can be used to obtain the circuit component values. Gene expression programming can be used to search for an adequate circuit topology. In this paper, an impr...

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Bibliographic Details
Main Author: Janeiro, Fernando M. (author)
Other Authors: Ramos, Pedro M. (author)
Format: lecture
Language:eng
Published: 2012
Subjects:
Impedance spectroscopy
circuit topology identification
genetic algorithms
gene expression programming
Online Access:http://hdl.handle.net/10174/3841
Country:Portugal
Oai:oai:dspace.uevora.pt:10174/3841
Description
Summary:Impedance circuit identification through spectroscopy is used to characterize sensors. When the circuit topology is known, genetic algorithms can be used to obtain the circuit component values. Gene expression programming can be used to search for an adequate circuit topology. In this paper, an improved version of the impedance circuit identification based on gene expression programming and hybrid genetic algorithm is presented. Numerical results based on a real sensor are presented.

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