Title :
Frequency domain system identification using arbitrary signals
Author :
Pintelon, R. ; Schoukens, J. ; Vandersteen, G.
Author_Institution :
ELEC Dept., Vrije Univ., Brussels, Belgium
fDate :
12/1/1997 12:00:00 AM
Abstract :
It is the common conviction that frequency domain system identification suffers from the drawback that it cannot handle arbitrary signals without introducing systematic errors. This paper shows that it is possible to deal with nonperiodic signals without any approximation and under the same assumptions as in the time domain, by estimating simultaneously some initial conditions and the system model parameters
Keywords :
discrete Fourier transforms; discrete time systems; frequency-domain analysis; identification; signal processing; transfer functions; discrete time models; frequency domain system; identification; nonperiodic signals; parametric transfer function; Difference equations; Discrete Fourier transforms; Filters; Frequency domain analysis; Noise measurement; Signal processing; Signal sampling; System identification; Time measurement; Transfer functions;
Journal_Title :
Automatic Control, IEEE Transactions on