Uncertainty of Transfer Function Modeling Using Prior Estimated Noise Models

[1]  N. Giri,et al.  On the Complex Analogues of $T^2$- and $R^2$-Tests , 1965 .

[2]  M. Schetzen.  The Volterra and Wiener Theories of Nonlinear Systems , 1980 .

[3]  Leon O. Chua,et al.  Fading memory and the problem of approximating nonlinear operators with volterra series , 1985 .

[4]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[5]  Huibert Kwakernaak,et al.  Modern signals and systems , 1991 .

[6]  I. Sandberg.  Approximately-finite memory and input-output maps , 1992, [Proceedings] 1992 IEEE International Symposium on Circuits and Systems.

[7]  Lennart Ljung,et al.  Estimating model variance in the case of undermodeling , 1992 .

[8]  J. Schoukens,et al.  Identification of linear systems in the presence of nonlinear distortions. A frequency domain approach. I. Non-parametric identification , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[9]  Gerd Vandersteen,et al.  Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets , 1997, Autom..

[10]  J. Schoukens,et al.  Parametric and nonparametric identification of linear systems in the presence of nonlinear distortions-a frequency domain approach , 1998, IEEE Trans. Autom. Control..

[11]  J. Schoukens,et al.  Frequency-domain identification of linear systems using arbitrary excitations and a nonparametric noise model , 1999, IEEE Trans. Autom. Control..

[12]  D. Brillinger.  Time series - data analysis and theory , 1981, Classics in applied mathematics.

[13]  Rik Pintelon,et al.  Some peculiarities of identification in the presence of model errors , 2002, Autom..

[14]  Yves Rolain,et al.  Modified AIC rule for model selection in combination with prior estimated noise models , 2002, Autom..

[15]  Lennart Ljung,et al.  Using the bootstrap to estimate the variance in the case of undermodeling , 2002, IEEE Trans. Autom. Control..