Application of system identification techniques to aircraft gas turbine engines
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{Evans:2001:CEP,
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author = "C. Evans and P. J. Fleming and D. C. Hill and
J. P. Norton and I. Pratt and D. Rees and
K. Rodriguez-Vazquez",
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title = "Application of system identification techniques to
aircraft gas turbine engines",
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journal = "Control Engineering Practice",
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volume = "9",
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pages = "135--148",
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year = "2001",
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number = "2",
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month = feb,
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keywords = "genetic algorithms, genetic programming, Gas turbines,
System identification, Frequency domain, Multisine
signals, Least-squares estimation, Time-varying
systems, Structure selection",
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ISSN = "0967-0661",
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broken = "http://www.sciencedirect.com/science/article/B6V2H-4280YP2-3/1/24d44180070f91dea854032d98f9187a",
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DOI = "doi:10.1016/S0967-0661(00)00091-5",
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abstract = "A variety of system identification techniques are
applied to the modelling 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. Three system identification approaches are
outlined in this paper. They are based upon: 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.",
- }
Genetic Programming entries for
C Evans
Peter J Fleming
D C Hill
J P Norton
I Pratt
D Rees
Katya Rodriguez-Vazquez
Citations