Abstract- This paper studies the linear dynamic errors-in-variables problem in the frequency domain. First the identifiability is shown under relaxed conditions. Next a frequency domain Gaussian...
Uncertainty bounds on modal parameters obtained from Stochastic Subspace Identification (2008)
Department of Civil Engineering, K.U.Leuven
Consistent impulse response estimation and system realization from noisy data (2008)
Pintelon, R, De Roeck, Guido; U0010690
Department of Civil Engineering, K.U.Leuven
FREQUENCY DOMAIN SYSTEM IDENTIFICATION TOOLBOX FOR MATLAB: A COMPLEX APPLICATION EXAMPLE (2007)
I. Koll Ar, R. Pintelon, J. Schoukens
Abstract. Frequency domain system identification has been rapidly developing during the past years. The new comprehensive Matlab toolbox is a successful implementation of the methods of the whole...
IEEE Instrumentation and Measurement Technology Conference (2007)
Budapest May Linear, J. Schoukens, R. Pintelon, T. Dobrowiecki
In this paper we set up a framework to deal with nonlinear distortions in a linear modelling framework. The nonlinear system is replaced by a linear system plus a noise source. The properties of this...
Initial estimates for the dynamics of a Hammerstein system (2007)
Widanage, W. D, Godfrey, K. R, Pintelon, R
This paper studies the generation of initial estimates for the dynamic part of a Hammerstein model. It will be shown that ARMAX or Box-Jenkins models result in better initial estimates than ARX or...
Book of Abstracts 26th Benelux Meeting on Systems and Control (2007)
Schoukens, J, Pintelon, R, Guillaume, P, ...
A parametric method for water mass analysis applied to the Southern Ocean (2006)
Jacquet, S. H. M, De Ridder, F, Dehairs, F, Pintelon, R, ...
Pintelon, R, Hubin, A, Verboven, P, Blajiev, O, ...
The framework about the odd random phase multisine with a random hannonic grid [E. Van Gheem, R. Pintelon, J. Vereecken, J. Schoukens, A. Hubin, P. Verboven, O. Blajiev, Electrochim. Acta, submitted...
Analysis of windowing/leakage effects in frequency response function measurements (2006)
This paper analyses the errors on the frequency response function measurement of a transfer function due to finite window effects (leakage). First an analysis of the rectangular and the Hanning...
Identification of the accretion rate for annually resolved archives (2006)
De Ridder, F., De Brauwere, A., Pintelon, R., Schoukens, J., Dehairs, F.
The past environment is often reconstructed by measuring a given proxy (e.g. ?18O) in an environmental archive, i.e. a species which gradually accumulates mass and records the current environment...
Identification of the accretion rate for annually resolved archives (2006)
De Ridder, F., De Brauwere, A., Pintelon, R., Schoukens, J., Dehairs, F.
The past environment is often reconstructed by measuring a given proxy (e.g. ?18O) in an environmental archive, i.e. a species which gradually accumulates mass and records the current environment...
Identification of the accretion rate for annually resolved archives (2006)
F. De Ridder, A. De Brauwere, R. Pintelon, J. Schoukens, F. Dehairs
The past environment is often reconstructed by measuring a given proxy (e.g. δ<sup>18</sup>O) in an environmental archive, i.e. a species which gradually accumulates mass...
Application of structured total least squares for system identification and model reduction (2005)
The following identification problem is considered: Minimize the l(2) norm of the difference between a given time series and an approximating one under the constraint that the approximating time...
Variance analysis of frequency response function measurements using periodic excitations (2005)
The influence of disturbing noise and nonlinear distortions on frequency response function measurements using periodic excitations has been studied in detail in the literature. A variance analysis...
Reduction of the Gibbs phenomenon applied on nonharmonic time base distortions (2005)
A sine wave fitting procedure for characterizing measurements of a periodic signal in the presence of additive noise and an unknown time base distortion is presented. If the time base distortion is...
De Ridder, F, Elskens, M, Pintelon, R, Baeyens, W
The problem of estimating parameters and their uncertainty from experimental measurements in marine ecosystems is a common task and often necessitates solving nonlinear equations. If the measurements...
De Ridder, F, Pintelon, R, Elskens, M, Baeyens, W
Combining (i) a statistical interpretation of the minimum of a Weighted Least Squares cost function and (ii) the principle of parsimony, a model selection strategy is proposed. First, it is compared...
Identification of linear systems with nonlinear distortions (2005)
Pintelon, R, Dobrowiecki, T, Rolain, Y
This paper studies the impact of nonlinear distortions on linear system identification. It collects a number of previously published methods in a fully integrated approach to measure and model these...
Modified AIC and MDL model selection criteria for short data records (2005)
The classical model selection rules such as Akaike information criterion (AIC) and minimum description length (MDL) have been derived assuming that the number of samples (measurements) is much larger...
Block-Toeplitz/Hankel structured total least squares (2005)
Markovsky, I., Van Huffel, S., Pintelon, R.
A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured,...
Application of structured total least squares for system identification and model reduction (2005)
Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B., Pintelon, R.
The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series...
Block-Toeplitz/Hankel structured total least squares (2005)
Markovsky, I., Van Huffel, S., Pintelon, R.
A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured,...
Application of structured total least squares for system identification and model reduction (2005)
Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B., Pintelon, R.
The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series...
Block-Toeplitz/Hankel structured total least squares (2005)
Markovsky, I., Van Huffel, S., Pintelon, R.
A multivariate structured total least squares problem is considered, in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured,...
Application of structured total least squares for system identification and model reduction (2005)
Markovsky, I., Willems, J. C., Van Huffel, S., De Moor, B., Pintelon, R.
The following identification problem is considered: minimize the l2 norm of the difference between a given time series and an approximating one under the constraint that the approximating time series...
Identification of linear systems withnon-linear distortions. Automatica (2005)
J. Schoukens, R. Pintelon, T. Dobrowiecki, Y. Rolain
Abstract: In this paper the impact of nonlinear distortions on the linear system identification framework is studied. In the first part the nonlinear system is replaced by a linear model plus a...
Block-Toeplitz/Hankel structured total least squares (2005)
A structured total least squares problem is considered in which the extended data matrix is partitioned into blocks and each of the blocks is block-Toeplitz/Hankel structured, unstructured, or exact....
Box-Jenkins alike identification using nonparametric noise models (2004)
The identification of a SISO linear dynamic system in the presence of output noise disturbances is studied. It is shown that a nonparametric model for the disturbing output noise can be extracted...
Decoding nonlinear growth rates in biogenic environmental archives (2004)
Pintelon, R, Gillikin, D, Andre, L, Baeyens, W, ...
The record of an environmental proxy along a growth axis in biogenic carbonates can reflect changing environmental conditions experienced during the lifetime of the organism. When a chronology of the...
Pintelon, R, Vereecken, J, Hubin, A, Verboven, P, ...
In order to investigate non-linear and non-stationary electrochemical systems, this series of two papers describes a new measurement method for electrochemical impedance spectroscopy (EIS), using...
Linearization of nonlinear dynamic systems (2004)
Nemeth, JG, Vandersteen, G, Pintelon, R, Crama, P
In this paper we propose a method to linearize a nonlinear dynamic system: the nonlinear distortions are reduced, and the linear dynamics are corrected to a flat amplitude and linear phase in a user...
Vereecken, J, Pintelon, R, Guillaume, P, Verboven, P, ...
Time-varying phenomena, such as crystallographic pitting corrosion, can be investigated by electrochemical impedance spectroscopy (EIS). For this purpose, a stepped sine excitation is most frequently...
A criterion to verify experimentally the stability of a nonlinear system, captured in a feedback loop, is proposed. The basic idea is to split the output power in coherent (linearly related to the...
Generation of enhanced initial estimates for Hammerstein Systems (2004)
Hammerstein systems are nonlinear models that are used in many domains for their simplicity and physical meaning. This paper presents a simple iterative method for generating good starting values...
Application of structured total least squares for system identification (2004)
\emph{Proc. of the 43rd IEEE Conference on Decision and Control (CDC)}, Atlantis, Bahamas, Dec. 2004
Fully automated spectral analysis of periodic signals (2003)
Rolain, Y, Simon, G, Pintelon, R
In this paper, we propose a method that allows to make a fully automated spectral analysis of a periodic signal, including a noise analysis, without any user interaction. The only action required...
Fast approximate identification of nonlinear systems (2003)
Nemeth, JG, Crama, P, Rolain, Y, Pintelon, R
In this paper, a method is presented to extend the classical identification methods for linear systems towards nonlinear modelling of linear systems that suffer from nonlinear distortions. A well...
Linear modeling in the presence of nonlinear distortions (2002)
In this paper, we set up a framework to deal with nonlinear distortions in a linear modeling framework. The nonlinear system is replaced by a linear system plus a noise source. The properties of this...
An efficient nonlinear least square multisine fitting algorithm (2002)
This paper presents a new nonlinear least-squares algorithm for fitting band-limited periodic signals with unknown frequency and harmonic content. The new solution features a model-based recursive...
Modified AIC rule for model selection in combination with prior estimated noise models (2002)
In this paper we adapt the AIC model selection rule to be used in combination with prior estimated noise models in the presence of model errors. It is shown that under these conditions a slightly...
Simons, W, Hubin, A, Pintelon, R
Starting from a parameter estimation problem encountered while interpreting experimental data obtained for the electrodeposition of silver from 1.2-Ag(S2O3)(2)(3-) complexes, an error data analysis...
Fully automated spectral analysis of periodic signals (2002)
J. Schoukens, Y. Rolain, G. Simon, R. Pintelon
Abstract- In this paper we propose a method that allows to make a fully automized spectral analysis of a periodic signal, including a noise analysis, without any user interaction. The only action...
An improved multiple internal standard normalisation for drift in LA-ICP-MS measurements (2002)
Pintelon, R, Navez, J, Andre, L, Dehairs, F
One of the primary factors limiting precision in LA-ICP-MS measurements is the instrument fluctuation. To overcome this limitation one usually employs a normalisation based on a single internal...
This paper discusses the parametric identification of multiple-input-multiple-output (MIMO) rotor-bearing systems in the frequency domain on the basis of the maximum likelihood estimator (MLE). An...
Pintelon, R, Rolain, Y, Gutierrez, ES, Guillaume, P
This paper discusses the non-parametric identification if MIMO rotor-bearing systems in the frequency domain for real as well as for complex modal testing. The FRFs are estimated on the basis of the...
Frequency response function measurements in the presence of nonlinear distortions (2001)
Pintelon, R, Rolain, Y, Dobrowiecki, T
In this paper, we deal with the measurement of the Frequency response function (FRF) of linear dynamic systems in the presence of nonlinear distortions, It is shown that it is possible to detect,...
In this note, a method is proposed to generate improved uncertainty bounds on the poles and zeros of an identified system. The uncertainty ellipsoids are replaced by dedicated uncertainty regions...
Biesemans, M, Altmann, R, Willem, R, Pintelon, R, ...
Insoluble diorganotin functionalized polymers of the type (P-H)(1-t)(P-(CH2)(n)SnBuX2)(t), with n = 4, 6, X = Ph, Cl, and t being the degree of functionalization, were synthesized from Amberlite...
Frequency-selective quantification of biomedical magnetic resonance spectroscopy data (2000)
In this paper the possibility of obtaining accurate estimates of parameters of selected peaks in the presence of unknown or uninteresting spectral features in biomedical magnetic resonance...
Learning neural networks with noisy inputs using the errors-in-variables approach (2000)
Currently, most Learning algorithms for neural-network modeling are based on the output error approach, using a least squares cost function. This method provides good results when the network is...
Vandersteen, G, Pintelon, R, Guillaume, P
This paper presents a generalized frequency domain identification method to identify single-input/single-output (SISO) systems combining two previously published extensions in one method: arbitrary...
Study of conditional ML estimators in time and frequency-domain system identification (1999)
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...
Study of Conditional ML Estimators in Time and Frequency domain System Identification. (1999)
Schoukens Pintelon And, J. Schoukens, R. Pintelon, Y. Rolain
This paper studies the impact of replacing the full covariance matrix by its main diagonal in maximum likelihood estimation (MLE) of linear dynamic systems in the time or frequency domain. First the...
The aim of the present paper is to develop a parametric estimator for linear time-invariant multivariable systems with nearly maximum likelihood properties. The estimator is based on the total least...
This paper studies the asymptotic behavior of nonparametric and parametric frequency domain identification methods to model linear dynamic systems in the presence of nonlinear distortions under some...
Improved frequency response function measurements for random noise excitations (1998)
This paper presents a method to get improved nonparametric frequency response function (FRF) measurements for random noise excitations. The basic idea is to remote the effect of leakage on the FRF by...
A two-step coarse-fine order estimation technique is proposed to determine the order of the numerator and the denominator polynomials of rational transfer function models for...
A method is proposed to characterize the nonideal behavior of a data acquisition channel using a sinewave fitting procedure. Three error sources are considered: the nonlinear (dynamic) behavior of...
Pintelon, R, Vandersteen, G, Guillaume, P
This paper discusses the problem of identifying a linear system from the frequency data when the measurements of the input and the output signals are both disturbed with noise. A typical example of...
Frequency Domain System Identification Toolbox for MATLAB: Improvements and New Possibilities (1997)
Istvan Kollar, Rik Pintelon, I. Koll Ar, R. Pintelon, Johan Schoukens
Frequency domain system identification has been rapidly developing during the past years. The comprehensive Frequency Domain System Identification (FDIDENT) Matlab toolbox is a successful...
This paper studies the asymptotic properties (strong consistency, convergence rate, asymptotic normality) of a generalized weighted nonlinear least-squares estimator under weak noise assumptions,...
Design of stable IIR filters in the complex domain by automatic delay selection (1996)
A major problem encountered when designing infinite impulse response (IIR) filters in the complex domain is to ensure that the filter is stable. Instability occurs frequently when the IIR filter...
This paper gives a survey of identification methods for static, strongly nonlinear systems, A robust estimation algorithm is proposed for the estimation of static, nonlinear systems which can be...
The statistical properties of a logarithmic least-squares frequency-domain estimator are analyzed in an ''error in-variables'' framework, It is shown that, contrary to most frequency-domain...
Generating piecewise-constant excitations with an arbitrary power spectrum (1995)
A comparison is made between zero-order-hold-noise (ZOH-noise) and ZOH-periodic excitations. Their ability to excite a system with maximum power and a specified power spectrum, while the peak value...
Identification of continuous time systems in time and frequency domain using discrete time and continuous time models under the zero-order-hold and the band limited measurement assumption
Identification of synchronous machines parameters using broad-band excitations (1994)
Pintelon, R, Lataire, P, Guillaume, P, Mpandamabwe, B, ...
This paper describes a newly developed measurement and identification technique for synchronous machine parameters. The first part presents a technique to generate periodic broadband power signals...
VIGABATRIN IN UNCONTROLLED SEIZURES - BELGIAN CLINICAL-EXPERIENCE (1994)
ALLEWAERT, M, LHOIR, A, BEUSEN, L, Boon, Paul, BRUYLAND, M, DEKEYSER, J, ...
Nonparametric frequency-response function estimators based on nonlinear averaging techniques (1992)
Nonparametric frequency response function (FRF) estimators based on nonlinear averaging techniques are proposed. Under mild assumptions (which are well satisfied after a discrete Fourier transform)...
Parametric identification of 2-port models in the frequency-domain (1992)
This paper treats the problem of parametric estimation of linear time-invariant dynamic two-port models (e.g., the short-circuit admittance matrix) from experimental data. A multivariate...
The interpolated fast fourier-transform - a comparative-study (1992)
In this paper, the properties of five interpolating fast Fourier transform methods (IFFT) are studied with respect to their systematic errors and their noise sensitivity, for a monofrequency signal....
Crest-factor minimization using nonlinear chebyshev-approximation methods (1991)
Low crest-factor of excitation and response signals is desirable in transfer function measurements, since this allows the maximization of the signal-to-noise ratios (SNR's) for given allowable...
Another step towards an ideal data acquisition channel (1991)
In a recent paper [1] a method has been presented for the design of amplitude- and phase-compensating IIR filters. The procedure is based on inversion of the transfer function, identified in the...
Equalization of Data Acquisition Channels Using Digital Filters (1990)
Istvan Kollar, Rik Pintelon, R. Pintelon, Yves Rolain, Johan Schoukens
The possibility of the compensation of amplitude and phase errors of data acquisition channels is investigated. The complex passband error can be significantly reduced by an appropriate digital...