Title :
Frequency domain identification of linear systems using arbitrary excitations and a nonparametric noise model
Author :
Schoukens, J. ; Vandersteen, G. ; Pintelon, R. ; Guillaume, P.
Author_Institution :
Vrije Univ., Brussels, Belgium
Abstract :
This paper presents a generalized frequency domain identification method to identify SISO systems combining two previously published extensions in one method: arbitrary but persistent excitations are allowed and a nonparametric noise model is extracted from the same data that are used to identify the system. The method is directly applicable to identification in feedback if an external persistently exciting reference signal is available
Keywords :
feedback; frequency-domain analysis; identification; linear systems; noise; arbitrary excitations; external persistently exciting reference signal; feedback; frequency domain identification; linear systems; nonparametric noise model; Control systems; Covariance matrix; Data mining; Discrete Fourier transforms; Feedback loop; Frequency domain analysis; Instruments; Linear systems; Open loop systems; Predictive models;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.761840
