Title :
System identification using frequency domain methodology
Author_Institution :
John M. Olin Sch. of Bus., Washington Univ., St. Louis, MO, USA
Abstract :
A method for using the frequency domain methodology to identify a linear meta-model is proposed. This involves multiple frequency domain runs to eliminate the effect of gain. The method uses the Fourier transform of the output process, rather than the periodogram or smoothed periodgram estimators. The identification focuses on estimating the coefficients of the model, and is therefore similar in spirit to response surface methodology. The method is tested on two models, one with known structure and the other with unknown structure. The procedure does well as fitting the coefficients, including obtaining the correct sign
Keywords :
Fourier transforms; frequency-domain analysis; identification; Fourier transform; frequency domain methodology; gain; linear meta-model; model coefficients estimation; response surface methodology; sign; system identification; Autocorrelation; Fourier transforms; Frequency domain analysis; Frequency estimation; Jacobian matrices; Response surface methodology; Stochastic processes; Surface fitting; System identification; Testing;
Conference_Titel :
Simulation Conference, 1990. Proceedings., Winter
Conference_Location :
New Orleans, LA
Print_ISBN :
0-911801-72-3
DOI :
10.1109/WSC.1990.129541
