화학공학소재연구정보센터
Automatica, Vol.35, No.1, 91-100, 1999
Study of conditional ML estimators in time and frequency-domain system identification
This paper shows that the full covariance matrix can be replaced by its main diagonal in maximum likelihood estimation (MLE) of linear dynamic systems in the time or frequency domain without affecting the asymptotic properties, This is a very important result for frequency-domain identification since it allows to use nonparametric noise models, It also provides a theoretical justification for the common practice in time-domain identification to neglect the initial condition effects of the noise model,