System identification strategies applied to aircraft gas turbine engines

Autor:	Peter J. Fleming, J.P. Norton, David Rees, V.Y. Arkov, I. Pratt, C. Evans, Katya Rodríguez-Vázquez, D.C. Hill
Rok vydání:	1999
Předmět:	Engineering business.industry Ambient noise level System identification Control engineering Genetic programming Variety (cybernetics) Identification (information) Sine wave Control and Systems Engineering Frequency domain business Software Smoothing
Zdroj:	IFAC Proceedings Volumes. 32:4371-4378
ISSN:	1474-6670
DOI:	10.1016/s1474-6670(17)56745-2
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475535f3cad4477f11227a2ef58cfc7c https://doi.org/10.1016/s1474-6670(17)56745-2 Zobrazit plný text záznamu