Name
Affiliation
Papers
JOHAN SCHOUKENS
Department ELEC, Vrije Universiteit Brussel, Pleinlaan 2, B1050 Brussels, Belgium
67
Collaborators
Citations 
PageRank 
79
376
58.12
Referers 
Referees 
References 
497
543
508
Search Limit
100543
Title
Citations
PageRank
Year
Decoupling multivariate polynomials for nonlinear state-space models00.342019
Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis.20.392018
Regularized nonparametric Volterra kernel estimation.30.452018
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization.10.352018
Efficient Multidimensional Regularization for Volterra Series Estimation.20.892018
Approximate decoupling of multivariate polynomials using weighted tensor decomposition.00.342018
Linear System Identification in a Nonlinear Setting - Nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation.40.442018
Nonlinear state-space modelling of the kinematics of an oscillating circular cylinder in a fluid flow.00.342018
Best Linear Approximation of Wiener Systems Using Multilevel Signals: Theory and Experiments.00.342018
Recursive Discrete-Time Models for Continuous-Time Systems Under Band-Limited Assumptions30.552018
Dynamic Signal Measurements Based on Quantized Data.10.382017
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels.20.362017
Structure Detection of Wiener–Hammerstein Systems With Process Noise10.352017
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition.00.342017
Estimating Respiratory Impedance at Breathing Frequencies Using Regularized Least Squares on Forced Oscillation Technique Measurements.10.432017
Parameter reduction in nonlinear state-space identification of hysteresis.00.342017
Information matrix and D-optimal design with Gaussian inputs for Wiener model identification.40.432016
A nonlinear state-space approach to hysteresis identification.00.342016
Measuring the Noise Cumulative Distribution Function Using Quantized Data.30.432016
Filter-based regularisation for impulse response modelling.10.352016
Initial estimates for Wiener–Hammerstein models using phase-coupled multisines30.372015
Parametric System Identification Using Quantized Data40.482015
Nonparametric Time-Domain Identification of Linear Slowly Time-Variant Systems Using B-Splines30.462015
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition10.352015
Information and Statistical Efficiency When Quantizing Noisy DC Values10.422015
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions.20.402015
Iterative Update of the Pole Locations in a Wiener-Schetzen Model.10.352013
FRF Measurement of Nonlinear Systems Operating in Closed Loop.100.662013
Can errors-in-variables systems be identified from closed-loop experiments?10.392013
Design of Multilevel Signals for Identifying the Best Linear Approximation of Nonlinear Systems.40.472013
Identification of systems with localised nonlinearity: From state-space to block-structured models100.662013
Errors-in-variables identification of dynamic systems excited by arbitrary non-white input.100.892013
Estimation of the FRF Through the Improved Local Bandwidth Selection in the Local Polynomial Method.00.342012
Frequency Response Function Measurements Using Concatenated Subrecords With Arbitrary Length.90.752012
Uniquely connecting frequency domain representations of given order polynomial Wiener-Hammerstein systems.20.392012
Approximate ML Estimation of the Period and Spectral Content of Multiharmonic Signals Without User Interaction00.342012
Experiment design for the identification of a simple Wiener system30.442012
Single and Piecewise Polynomials for Modeling of Pitched Sounds40.452012
Analysis of Best Linear Approximation of a Wiener-Hammerstein System for Arbitrary Amplitude Distributions.120.952012
Convergence analysis and experiments using an RPEM based on nonlinear ODEs and midpoint integration10.362012
Identifying A Wiener System Using A Variant Of The Wiener G-Functionals60.572011
On the use of parametric and non-parametric noise-models in time- and frequency domain system identification20.452010
Two nonlinear optimization methods for black box identification compared30.612010
Upper Bounding Variations of Best Linear Approximations of Nonlinear Systems in Power Sweep Measurements20.382010
Welch method revisited: nonparametric power spectrum estimation via circular overlap110.932010
Identification of nonlinear systems using Polynomial Nonlinear State Space models150.992010
Estimation of Nonparametric Noise Models for Linear Dynamic Systems10.532009
Blind maximum-likelihood identification of wiener systems80.702009
Application of Blind Identification to Nonlinear Calibration20.412008
Identification of a periodic time series from an environmental proxy record10.412008
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