Genetic algorithms in system identification

6 January 2003

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

No. 21589860,p. 597-602
https://doi.org/10.1109/isic.1988.65498

Abstract

Current online identification techniques are recursive and local search techniques. In the present work, it is shown how genetic algorithms, a parallel, global search technique emulating natural genetic operators, can be used to estimate the poles and zeros of a dynamical system. An adaptive controller is designed on the basis of the estimates. Simulations and an experiment show the technique to be satisfactory and to provide unbiased estimates in the presence of colored noise.

Keywords

GENETIC ALGORITHMS
SYSTEM IDENTIFICATION
COLORED NOISE
GENETIC MUTATIONS
POLES AND ZEROS
PROGRAMMABLE CONTROL
ADAPTIVE CONTROL
MAXIMUM LIKELIHOOD ESTIMATION
SAMPLING METHODS
BIOLOGICAL CELLS

This publication has 1 reference indexed in Scilit:

Recursive adaptive filter design using an adaptive genetic algorithm
Published by Institute of Electrical and Electronics Engineers (IEEE) ,2005