The following pages link to Rik Pintelon (Q313228):
Displaying 50 items.
- (Q184786) (redirect page) (← links)
- Continuous-time identification of periodically parameter-varying state space models (Q313229) (← links)
- Non-parametric estimate of the system function of a time-varying system (Q417817) (← links)
- Realization and identification of autonomous linear periodically time-varying systems (Q458862) (← links)
- Frequency domain sample maximum likelihood estimation for spatially dependent parameter estimation in PDEs (Q466293) (← links)
- Nonparametric preprocessing in system identification: a powerful tool (Q468317) (← links)
- Periodic time-series modeling of environmental proxy records with guaranteed positive growth rate estimation (Q635950) (← links)
- Box-Jenkins alike identification using nonparametric noise models (Q705191) (← links)
- Frequency domain maximum likelihood estimation of linear dynamic errors-in-variables models (Q880412) (← links)
- Box-jenkins identification revisited-part III: multivariable systems (Q883385) (← links)
- Study of the LTI relations between the outputs of two coupled Wiener systems and its application to the generation of initial estimates for Wiener-Hammerstein systems (Q958253) (← links)
- Identification of nonlinear systems using polynomial nonlinear state space models (Q983202) (← links)
- Accuracy analysis of time domain maximum likelihood method and sample maximum likelihood method for errors-in-variables and output error identification (Q983214) (← links)
- Time-series reconstruction from natural archive data with the Averaging effect taken into account (Q993434) (← links)
- On the elimination of bias averaging-errors in proxy records (Q1023970) (← links)
- Study of conditional ML estimators in time and frequency-domain system identification (Q1295116) (← links)
- Generating robust starting values for frequency-domain transfer function estimation (Q1298249) (← links)
- Identification of linear dynamic systems using piecewise constant exitations: Use, misuse and alternatives (Q1334592) (← links)
- Identification of continuous-time systems using arbitrary signals (Q1360498) (← links)
- Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets (Q1362427) (← links)
- Fast approximate identification of nonlinear systems (Q1398410) (← links)
- Uncertainty of transfer function modelling using prior estimated noise models (Q1413930) (← links)
- Box-Jenkins continuous-time modeling (Q1571080) (← links)
- Modified AIC rule for model selection in combination with prior estimated noise models (Q1614314) (← links)
- Frequency-domain subspace system identification using non-parametric noise models (Q1614389) (← links)
- Identification of linear systems with nonlinear distortions (Q1776439) (← links)
- Nonparametric identification of linear dynamic errors-in-variables systems (Q1797144) (← links)
- Some peculiarities of identification in the presence of model errors (Q1858883) (← links)
- Generation of enhanced initial estimates for Hammerstein systems (Q1883138) (← links)
- Estimation of the risk for an unstable behaviour of feedback systems in the presence of nonlinear distortions (Q1883139) (← links)
- Can errors-in-variables systems be identified from closed-loop experiments? (Q1940305) (← links)
- FRF estimation using multiple kernel-based regularisation (Q2063826) (← links)
- On the consistency and asymptotic normality of discrete-time LTI models identified from concatenated data sets (Q2125494) (← links)
- Bias and covariance of the least squares estimate in a structured errors-in-variables problem (Q2291334) (← links)
- Parametric identification of parallel Wiener-Hammerstein systems (Q2342520) (← links)
- Nonparametric time-variant frequency response function estimates using arbitrary excitations (Q2342547) (← links)
- Errors-in-variables identification of dynamic systems excited by arbitrary non-white input (Q2350753) (← links)
- Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations (Q2374486) (← links)
- Identification of multivariable dynamic errors-in-variables system with arbitrary inputs (Q2409127) (← links)
- Structure discrimination in block-oriented models using linear approximations: a theoretic framework (Q2409436) (← links)
- Discussion on: ``Identification of multivariable models of fast ferries'' (Q2511894) (← links)
- Blind maximum likelihood identification of Hammerstein systems (Q2518986) (← links)
- Identification of Wiener-Hammerstein systems by a nonparametric separation of the best linear approximation (Q2628454) (← links)
- Analysis of windowing/leakage effects in frequency response function measurements (Q2641726) (← links)
- Box-Jenkins identification revisited. I: Theory (Q2641730) (← links)
- Box-Jenkins identification revisited. II: Applications (Q2641731) (← links)
- Initial estimates for the dynamics of a Hammerstein system (Q2641805) (← links)
- Identification of dynamic errors-in-variables systems with quasi-stationary input and colored noise (Q2662311) (← links)
- Minimal state space realisation of continuous-time linear time-variant input–output models (Q2807888) (← links)
- (Q2995233) (← links)
