Genetic algorithms in system identification

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 control...

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Bibliographic Details
Published inProceedings IEEE International Symposium on Intelligent Control 1988 pp. 597 - 602
Main Authors Kristinsson, K., Dumont, G.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1988
Subjects
Adaptive control
Biological cells
Colored noise
Genetic algorithms
Genetic mutations
Maximum likelihood estimation
Poles and zeros
Programmable control
Sampling methods
System identification
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ISBN9780818620126
0818620129
ISSN2158-9860
DOI10.1109/ISIC.1988.65498

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Summary: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.< >
ISBN:9780818620126
0818620129
ISSN:2158-9860
DOI:10.1109/ISIC.1988.65498