Application of system identification techniques to aircraft gas turbine engines

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Evans:2001:CEP,

• 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",
• title = "Application of system identification techniques to aircraft gas turbine engines",
• journal = "Control Engineering Practice",
• volume = "9",
• pages = "135--148",
• year = "2001",
• number = "2",
• month = feb,
• keywords = "genetic algorithms, genetic programming, Gas turbines, System identification, Frequency domain, Multisine signals, Least-squares estimation, Time-varying systems, Structure selection",
• ISSN = "0967-0661",
• broken = "http://www.sciencedirect.com/science/article/B6V2H-4280YP2-3/1/24d44180070f91dea854032d98f9187a",
• DOI = "doi:10.1016/S0967-0661(00)00091-5",
• 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