Abstract
This paper presents an aircraft turbofan engine model identification in time domain. The identification makes use of a multivariable linear model of turbofan engine dynamics having uncertain eigenvalues. The uncertainty describes the difference between nonlinear and linear models. The bounds for real and imaginary parts of uncertain matrix eigenvalues are determined using nonlinear programming. The results of identification application using a detailed nonlinear model of an aircraft turbofan engine are presented.
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