Abstract
A variety of system identification techniques are
applied to the derivation of models of aircraft gas
turbine dynamics. The motivation behind the study is to
improve the efficiency and cost-effectiveness of system
identification techniques currently used in the
industry. Four system identification approaches are
outlined in this paper. They are based upon:
identification using ambient noise only data, multisine
testing and frequency-domain identification,
time-varying models estimated using extended least
squares with optimal smoothing, and multiobjective
genetic programming to select model structure.
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