System Identification Strategies Applied to Aircraft Gas Turbine Engines
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Arkov:2000:ARC,
-
author = "V. Arkov and 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 = "System Identification Strategies Applied to Aircraft
Gas Turbine Engines",
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journal = "Annual Reviews in Control",
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volume = "24",
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pages = "67--81",
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year = "2000",
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number = "1",
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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 = "1367-5788",
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broken = "http://www.sciencedirect.com/science/article/B6V0H-482MDPD-8/2/dd470648e2228c84efe7e14ca3841b7e",
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DOI = "doi:10.1016/S1367-5788(00)90015-4",
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size = "15 pages",
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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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notes = "Also known as \cite{Arkov200067}",
- }
Genetic Programming entries for
V Arkov
C Evans
Peter J Fleming
D C Hill
J P Norton
I Pratt
D Rees
Katya Rodriguez-Vazquez
Citations