Title: Study on the goodness of system identification using multivariate AR modeling
Abstract: In order to evaluate the goodness of system identification using a MAR modeling method, simulation study was performed using a hybrid computer. The simulated systems are low order feedback systems with independent Gaussian white noise sources. The test of system identification using MAR modeling method was performed for this simulation model. The results of the simulation study show that the MAR model gives correct estimates of power spectra of the output signals and gain factors of the transfer function between output signals. However, it will not necessarily give correct ones for the estimation of the cut-off frequencies of transfer functions for all sub-systems. The examples in which MAR modeling is applied to real reactor noise data to estimate transfer functions of the control system and the noise sources are also discussed.
Publication Year: 1988
Publication Date: 1988-01-01
Language: en
Type: article
Indexed In: ['crossref']
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Cited By Count: 2
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