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• W2023373803 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." @default.
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• W2023373803 date "2000-01-01" @default.
• W2023373803 modified "2023-09-24" @default.
• W2023373803 title "System identification strategies applied to aircraft gas turbine engines" @default.
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• W2023373803 doi "https://doi.org/10.1016/s1367-5788(00)90015-4" @default.
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