Nonlinear identification of aircraft gas-turbine dynamics
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Ruano:2003:NC,
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author = "A. E. Ruano and P. J. Fleming and C. Teixeira and
K. Rodriguez-Vazquez and C. M. Fonseca",
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title = "Nonlinear identification of aircraft gas-turbine
dynamics",
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journal = "Neurocomputing",
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year = "2003",
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volume = "55",
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pages = "551--579",
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number = "3-4",
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keywords = "genetic algorithms, genetic programming, Gas-turbine
engines, Nonlinear system identification, Neural
networks, Multiobjective optimisation",
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ISSN = "0925-2312",
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owner = "wlangdon",
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URL = "http://www.sciencedirect.com/science/article/B6V10-48R1XV3-1/2/afe6ee6ac5dca01715848cf8a5476846",
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DOI = "doi:10.1016/S0925-2312(03)00393-X",
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abstract = "Identification results for the shaft-speed dynamics of
an aircraft gas turbine, under normal operation, are
presented. As it has been found that the dynamics vary
with the operating point, nonlinear models are
employed. Two different approaches are considered: NARX
models, and neural network models, namely multilayer
perceptrons, radial basis function networks and
B-spline networks. A special attention is given to
genetic programming, in a multiobjective fashion, to
determine the structure of NARMAX and B-spline
models.",
- }
Genetic Programming entries for
Antonio E Ruano
Peter J Fleming
C Teixeira
Katya Rodriguez-Vazquez
Carlos M Fonseca
Citations