The transient impulse response modeling method for non-parametric system identification

A method for the nonparametric estimation of the Frequency Response Function (FRF) was introduced in Hagg et?al. (2011) and later called Transient Impulse Response Modeling Method (trimm). We present here a slightly improved version of the original method and, more importantly, we thoroughly analyze the method in terms of bias and variance errors. This analysis leads to guidelines for the choice of the design parameters in trimm. Our theoretical expressions for the bias and variance errors are validated by simulations which, at the same time, highlight the effect of the design parameters on the performance of the method.

[1]  Rik Pintelon,et al.  The Local Polynomial Method for nonparametric system identification: Improvements and experimentation , 2011, IEEE Conference on Decision and Control and European Control Conference.

[2]  T. McKelvey Frequency Domain Identification , 2000 .

[3]  Yves Rolain,et al.  Bounding the Polynomial Approximation Errors of Frequency Response Functions , 2013, IEEE Transactions on Instrumentation and Measurement.

[4]  Yves Rolain,et al.  User friendly Box-Jenkins identification using nonparametric noise models , 2011, IEEE Conference on Decision and Control and European Control Conference.

[5]  T. McKelvey,et al.  Non-parametric frequency response estimation using a local rational model , 2012 .

[6]  J. Schoukens,et al.  Frequency domain system identification using arbitrary signals , 1997, IEEE Trans. Autom. Control..

[7]  Gerd Vandersteen,et al.  Nonparametric preprocessing in system identification: A powerful tool , 2009, 2009 European Control Conference (ECC).

[8]  J. Schoukens,et al.  Estimation of nonparametric noise and FRF models for multivariable systems—Part II: Extensions, applications , 2010 .

[9]  Bo Wahlberg,et al.  A least squares approach to direct frequency response estimation , 2011, IEEE Conference on Decision and Control and European Control Conference.

[10]  Johan Schoukens,et al.  The Transient Impulse Response Modeling Method and the Local Polynomial Method for Nonparametric System Identification , 2012 .

[11]  Rik Pintelon,et al.  System Identification: A Frequency Domain Approach , 2012 .

[12]  J. Schoukens,et al.  Estimation of nonparametric noise and FRF models for multivariable systems—Part I: Theory , 2010 .

[13]  SchoukensJohan,et al.  The transient impulse response modeling method for non-parametric system identification , 2016 .

[14]  Petre Stoica,et al.  Spectral Analysis of Signals , 2009 .

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

[16]  Håkan Hjalmarsson,et al.  Non-parametric Frequency Function Estimation using Transient Impulse Response Modelling , 2012 .