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Genetic algorithms in system identification and control

Current online identification techniques are recursive and involve local search techniques.
In this thesis, we show 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. We also design an adaptive controller based on the estimates. The algorithms are shown to be useful for continuous time parameter identifications and to be able to identify directly physical parameters of a system. Simulations and an experiment show the technique to be satisfactory and to provide unbiased estimates in presence of colored noise. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate
Date January 1990
CreatorsKristinsson, Kristinn
PublisherUniversity of British Columbia
Source SetsUniversity of British Columbia
Detected LanguageEnglish
TypeText, Thesis/Dissertation
RightsFor non-commercial purposes only, such as research, private study and education. Additional conditions apply, see Terms of Use

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