This paper deals with the identification of Errors-in-Variables (EIV) models corrupted by additive and uncorrelated white noises when the noise--free input is an arbitrary signal, not necessarily periodic. In particular, the paper describes a frequency domain method, that resembles in many aspects the so-called Frisch Scheme approach, originally developed in the time domain. The method is applied to the identification of the dynamic parameters of simulated mechanical systems. The effectiveness of the proposed approach, even in presence of non linear model behavior, is verified by means of numerical simulations.
Umberto, S., Giuseppe, C. (2016). Transfer Function Parameter Identification in the Frequency domain. Bologna : Esculapio.
Transfer Function Parameter Identification in the Frequency domain
SOVERINI, UMBERTO;
2016
Abstract
This paper deals with the identification of Errors-in-Variables (EIV) models corrupted by additive and uncorrelated white noises when the noise--free input is an arbitrary signal, not necessarily periodic. In particular, the paper describes a frequency domain method, that resembles in many aspects the so-called Frisch Scheme approach, originally developed in the time domain. The method is applied to the identification of the dynamic parameters of simulated mechanical systems. The effectiveness of the proposed approach, even in presence of non linear model behavior, is verified by means of numerical simulations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.