Gene expression programming and genetic algorithms in impedance circuit identification

Authors

  • Fernando M. Janeiro Instituto de Telecomunicações / Universidade de Évora
  • Pedro M. Ramos Instituto de Telecomunicações / Instituto Superior Técnico, Technical University of Lisbon

DOI:

https://doi.org/10.21014/acta_imeko.v1i1.16

Abstract

Impedance circuit identification through spectroscopy is often used to characterize sensors. When the circuit topology is known, it has been shown that the component values can be obtained by genetic algorithms. Also, 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 to both identify the circuit and estimate its parameters. Simulation results are used to validate the proposed algorithm in different situations. Further validation is presented from measurements on a circuit that models a humidity sensor and also from measurements on a viscosity sensor.

Author Biographies

Fernando M. Janeiro, Instituto de Telecomunicações / Universidade de Évora

Auxiliary Professor
Physics Department
Universidade de Évora

Pedro M. Ramos, Instituto de Telecomunicações / Instituto Superior Técnico, Technical University of Lisbon

Auxiliary Professor
Department of Electrical and Computer Engineering
Instituto Superior Técnico
Universidade Técnica de Lisboa

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Published

2012-06-06

Issue

Section

Research Papers