Johan Schoukens

ORCID

Publication Activity (10 Years)

Years Active: 1990-2023
Publications (10 Years): 92

Top Venues

CoRR

IEEE Trans. Instrum. Meas.

Autom.

I2MTC

Publications

Paolo Carbone, Alessio De Angelis, Johan Schoukens, Antonio Moschitta, Francesco Santoni
Low-Complexity Electrochemical-Impedance Spectroscopy for Battery Monitoring. IEEE Trans. Instrum. Meas. 72 (2023)
Paolo Carbone, Alessio De Angelis, Johan Schoukens, Antonio Moschitta, Francesco Santoni
Asymptotic Properties of a One-bit Estimator of Parametric Signals. I2MTC (2023)
Jan Decuyper, Koen Tiels, Siep Weiland, Mark C. Runacres, Johan Schoukens
Decoupling multivariate functions using a nonparametric filtered tensor decomposition. CoRR (2022)
Kiana Karami, David T. Westwick, Johan Schoukens
Applying Polynomial Decoupling Methods to the Polynomial NARX Model. CoRR (2022)
Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof
A frequency domain approach for local module identification in dynamic networks. Autom. 142 (2022)
Paolo Carbone, Johan Schoukens, Alessio De Angelis, Antonio Moschitta, Francesco Santoni
One-Bit Constrained Measurements of Parametric Signals. IEEE Trans. Instrum. Meas. 71 (2022)
Karthik Raghavan Ramaswamy, Péter Zoltán Csurcsia, Johan Schoukens, Paul M. J. Van den Hof
A frequency domain approach for local module identification in dynamic networks. CoRR (2021)
Jan Decuyper, Koen Tiels, Johan Schoukens
PNLSS Toolbox 1.0. CoRR (2021)
Jan Decuyper, Koen Tiels, Siep Weiland, Johan Schoukens
Decoupling multivariate functions using a non-parametric Filtered CPD approach. CoRR (2021)
Paolo Carbone, Johan Schoukens, Alessio De Angelis, Francesco Santoni, Antonella Comuniello, Antonio Moschitta
One-Bit Sine-Fit. IEEE Trans. Instrum. Meas. 70 (2021)
Jan Decuyper, David T. Westwick, Kiana Karami, Johan Schoukens
Decoupling P-NARX models using filtered CPD. CoRR (2021)
Paolo Carbone, Johan Schoukens, Antonio Moschitta
Quick Estimation of Periodic Signal Parameters From 1-Bit Measurements. IEEE Trans. Instrum. Meas. 69 (2) (2020)
Paolo Carbone, Johan Schoukens, Alessio De Angelis, Antonio Moschitta
A 1.5-bit DFT Analyzer. IEEE Trans. Instrum. Meas. 69 (10) (2020)
Jan Decuyper, Koen Tiels, Mark C. Runacres, Johan Schoukens
Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling. CoRR (2020)
Dieter Verbeke, Johan Schoukens
Frequency Response Measurements With Local Parametric Modeling. IEEE Trans. Instrum. Meas. 69 (6) (2020)
Maarten Schoukens, Rik Pintelon, Tadeusz P. Dobrowiecki, Johan Schoukens
Extending the Best Linear Approximation Framework to the Process Noise Case. IEEE Trans. Autom. Control. 65 (4) (2020)
Jan Decuyper, Tim De Troyer, Koen Tiels, Johan Schoukens, Mark C. Runacres
A nonlinear model of vortex-induced forces on an oscillating cylinder in a fluid flow. CoRR (2020)
Paolo Carbone, Johan Schoukens, Alessio De Angelis, Antonio Moschitta
Frequency and Amplitude Domain DAC-ADC Co-Testing Using Ternary Signals. IEEE Trans. Instrum. Meas. 69 (7) (2020)
Johan Schoukens, Lennart Ljung
Nonlinear System Identification: A User-Oriented Roadmap. CoRR (2019)
Ralf Stroop, Makoto Nakamura, Johan Schoukens, David Oliva Uribe
Tactile sensor-based real-time clustering for tissue differentiation. Int. J. Comput. Assist. Radiol. Surg. 14 (1) (2019)
Jeremy Stoddard, Georgios Birpoutsoukis, Johan Schoukens, James S. Welsh
Gaussian process regression for the estimation of generalized frequency response functions. Autom. 106 (2019)
Kiana Karami, David T. Westwick, Johan Schoukens
Identification of Decoupled Polynomial NARX Model Using Simulation Error Minimization. ACC (2019)
Jan Decuyper, Philippe Dreesen, Johan Schoukens, Mark Runacres, Koen Tiels
Decoupling Multivariate Polynomials for Nonlinear State-Space Models. IEEE Control. Syst. Lett. 3 (3) (2019)
Johan Schoukens, Mark Vaes, Rik Pintelon
Linear System Identification in a Nonlinear Setting - Nonparametric analysis of the nonlinear distortions and their impact on the best linear approximation. CoRR (2018)
Rishi Relan, Koen Tiels, Anna Marconato, Philippe Dreesen, Johan Schoukens
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record. CoRR (2018)
Rishi Relan, Johan Schoukens
Recursive Discrete-Time Models for Continuous-Time Systems Under Band-Limited Assumptions. CoRR (2018)
Maarten Schoukens, Rik Pintelon, Tadeusz P. Dobrowiecki, Johan Schoukens
Extending the Best Linear Approximation Framework to the Process Noise Case. CoRR (2018)
Anna Marconato, Jonas Sjöberg, Johan A. K. Suykens, Johan Schoukens
Improved Initialization for Nonlinear State-Space Modeling. CoRR (2018)
Johan Schoukens, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Anne Van Mulders, Gerd Vandersteen
Structure Discrimination in Block-Oriented Models Using Linear Approximations: A Theoretic Framework. CoRR (2018)
Anna Marconato, Maarten Schoukens, Koen Tiels, Widanalage Dhammika Widanage, Amjad Abu-Rmileh, Johan Schoukens
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example. CoRR (2018)
Rishi Relan, Koen Tiels, Jean-Marc Timmermans, Johan Schoukens
A Local Polynomial Approach to Nonparametric Estimation of the Best Linear Approximation of Lithium-Ion Battery From Multiple Datasets. CoRR (2018)
Jan Decuyper, Tim De Troyer, Mark Runacres, Koen Tiels, Johan Schoukens
Nonlinear state-space modelling of the kinematics of an oscillating circular cylinder in a fluid flow. CoRR (2018)
Rishi Relan, Yousef Firouz, Jean-Marc Timmermans, Johan Schoukens
Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis. CoRR (2018)
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Approximate decoupling of multivariate polynomials using weighted tensor decomposition. Numer. Linear Algebra Appl. 25 (2) (2018)
Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization. CoRR (2018)
Jean-Philippe Noël, Johan Schoukens
Grey-box state-space identification of nonlinear mechanical vibrations. CoRR (2018)
Erliang Zhang, Maarten Schoukens, Johan Schoukens
Structure detection of Wiener-Hammerstein systems with process noise. CoRR (2018)
Paolo Carbone, Johan Schoukens, Antonio Moschitta
Joint Measurement of Signal Parameters and ADC Transition Levels. IEEE Trans. Instrum. Meas. 67 (12) (2018)
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey, Paolo Carbone
Best Linear Approximation of Wiener Systems Using Multilevel Signals: Theory and Experiments. IEEE Trans. Instrum. Meas. 67 (5) (2018)
Georgios Birpoutsoukis, Péter Zoltán Csurcsia, Johan Schoukens
Efficient Multidimensional Regularization for Volterra Series Estimation. CoRR (2018)
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey, Paolo Carbone
Practical Issues in the Synthesis of Ternary Sequences. CoRR (2018)
Georgios Birpoutsoukis, Anna Marconato, John Lataire, Johan Schoukens
Regularized Nonparametric Volterra Kernel Estimation. CoRR (2018)
Alessio De Angelis, Paolo Carbone, Johan Schoukens
Generating low-distortion ternary signals using an imperfect DAC and ADC chain. I2MTC (2018)
Jean-Philippe Noël, Johan Schoukens
Grey-box state-space identification of nonlinear mechanical vibrations. Int. J. Control 91 (5) (2018)
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey, Paolo Carbone
Practical Issues in the Synthesis of Ternary Sequences. IEEE Trans. Instrum. Meas. 66 (2) (2017)
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey, Paolo Carbone
Measuring the best linear approximation of Wiener systems using multilevel sequences. I2MTC (2017)
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
An Initialization Method for Nonlinear Model Reduction Using the CP Decomposition. LVA/ICA (2017)
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. LVA/ICA (2017)
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey, Paolo Carbone
Best Linear Approximation of Wiener Systems Using Multilevel Signals: Theory and Experiments. CoRR (2017)
Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels, Jean-Philippe Noël, Johan Schoukens
Parameter reduction in nonlinear state-space identification of hysteresis. CoRR (2017)
Georgios Birpoutsoukis, Anna Marconato, John Lataire, Johan Schoukens
Regularized nonparametric Volterra kernel estimation. Autom. 82 (2017)
Philippe Dreesen, Koen Tiels, Mariya Ishteva, Johan Schoukens
Nonlinear system identification: Finding structure in nonlinear black-box models. CAMSAP (2017)
Rishi Relan, Koen Tiels, Jean-Marc Timmermans, Johan Schoukens
A Local Polynomial Approach to Nonparametric Estimation of the Best Linear Approximation of Lithium-Ion Battery From Multiple Datasets. IEEE Control. Syst. Lett. 1 (1) (2017)
Alexander De Cock, Michel Gevers, Johan Schoukens
D-Optimal Input Design for Nonlinear FIR-type Systems: A Dispersion-based Approach. CoRR (2017)
Rishi Relan, Yousef Firouz, Jean-Marc Timmermans, Johan Schoukens
Data-Driven Nonlinear Identification of Li-Ion Battery Based on a Frequency Domain Nonparametric Analysis. IEEE Trans. Control. Syst. Technol. 25 (5) (2017)
Erliang Zhang, Maarten Schoukens, Johan Schoukens
Structure Detection of Wiener-Hammerstein Systems With Process Noise. IEEE Trans. Instrum. Meas. 66 (3) (2017)
Hannes Maes, Miroslav Zivanovic, Johan Schoukens, Gerd Vandersteen
Estimating Respiratory Impedance at Breathing Frequencies Using Regularized Least Squares on Forced Oscillation Technique Measurements. IEEE Trans. Instrum. Meas. 66 (3) (2017)
Paolo Carbone, Johan Schoukens, Antonio Moschitta
Dynamic Signal Measurements Based on Quantized Data. IEEE Trans. Instrum. Meas. 66 (2) (2017)
Kaushik Mahata, Johan Schoukens, Alexander De Cock
Information matrix and D-optimal design with Gaussian inputs for Wiener model identification. Autom. 69 (2016)
Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen
Using the Best Linear Approximation With Varying Excitation Signals for Nonlinear System Characterization. IEEE Trans. Instrum. Meas. 65 (5) (2016)
Koen Tiels, Maarten Schoukens, Johan Schoukens
Initial estimates for Wiener-Hammerstein models using phase-coupled multisines. CoRR (2016)
Paolo Carbone, Johan Schoukens, István Kollár, Antonio Moschitta
Measuring the Noise Cumulative Distribution Function Using Quantized Data. IEEE Trans. Instrum. Meas. 65 (7) (2016)
Gabriel Hollander, Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Weighted tensor decomposition for approximate decoupling of multivariate polynomials. CoRR (2016)
Philippe Dreesen, David T. Westwick, Johan Schoukens, Mariya Ishteva
Modeling Parallel Wiener-Hammerstein Systems Using Tensor Decomposition of Volterra Kernels. CoRR (2016)
Per Hägg, Johan Schoukens, Michel Gevers, Håkan Hjalmarsson
The transient impulse response modeling method for non-parametric system identification. Autom. 68 (2016)
Jean-Philippe Noël, Johan Schoukens, Gaetan Kerschen
Grey-box nonlinear state-space modelling for mechanical vibrations identification. CoRR (2016)
Anna Marconato, Maarten Schoukens, Johan Schoukens
Filter-based regularisation for impulse response modelling. CoRR (2016)
Jean-Philippe Noël, Alireza Fakhrizadeh Esfahani, Gaetan Kerschen, Johan Schoukens
A nonlinear state-space approach to hysteresis identification. CoRR (2016)
Alessio De Angelis, Johan Schoukens, Keith R. Godfrey, Paolo Carbone
Practical synthesis of ternary sequences for system identification. I2MTC (2016)
Rishi Relan, Johan Schoukens
Recursive Discrete-Time Models for Continuous-Time Systems Under Band-Limited Assumptions. IEEE Trans. Instrum. Meas. 65 (3) (2016)
Alexander De Cock, Michel Gevers, Johan Schoukens
D-optimal input design for nonlinear FIR-type systems: A dispersion-based approach. Autom. 73 (2016)
Koen Tiels, Johan Schoukens
Wiener system identification with generalized orthonormal basis functions. CoRR (2016)
Anna Marconato, Maarten Schoukens, Johan Schoukens
Filter interpretation of regularized impulse response modeling. ECC (2016)
Philippe Dreesen, Maarten Schoukens, Koen Tiels, Johan Schoukens
Decoupling static nonlinearities in a parallel Wiener-Hammerstein system: A first-order approach. I2MTC (2015)
Rishi Relan, Johan Schoukens
Output error bounds for discrete-time models with forced delay under band-limited assumptions: An experimental study. I2MTC (2015)
Koen Tiels, Maarten Schoukens, Johan Schoukens
Initial estimates for Wiener-Hammerstein models using phase-coupled multisines. Autom. 60 (2015)
Ricardo Castro-Garcia, Koen Tiels, Johan Schoukens, Johan A. K. Suykens
Incorporating Best Linear Approximation within LS-SVM-based Hammerstein System Identification. CDC (2015)
Sándor Kolumbán, István Vajk, Johan Schoukens
Perturbed datasets methods for hypothesis testing and structure of corresponding confidence sets. Autom. 51 (2015)
Peter Zoltan Csurcsia, Johan Schoukens, István Kollár, John Lataire
Nonparametric Time-Domain Identification of Linear Slowly Time-Variant Systems Using B-Splines. IEEE Trans. Instrum. Meas. 64 (1) (2015)
Antonio Moschitta, Johan Schoukens, Paolo Carbone
Information and Statistical Efficiency When Quantizing Noisy DC Values. IEEE Trans. Instrum. Meas. 64 (2) (2015)
Anna Marconato, Johan Schoukens
Impact of regularization in FIR estimation for short and long data records. I2MTC (2015)
Paolo Carbone, Johan Schoukens, István Kollár, Antonio Moschitta
Accurate Sine-Wave Amplitude Measurements Using Nonlinearly Quantized Data. IEEE Trans. Instrum. Meas. 64 (12) (2015)
Johan Schoukens, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Anne Van Mulders, Gerd Vandersteen
Structure discrimination in block-oriented models using linear approximations: A theoretic framework. Autom. 53 (2015)
Peter Zoltan Csurcsia, Johan Schoukens
Nonparametric estimation of a time-variant system: An experimental study of B-splines and the regularization based smoothing. I2MTC (2015)
Alireza Fakhrizadeh Esfahani, Johan Schoukens, Laurent Vanbeylen
Design of excitations for structure discrimination of nonlinear systems, using the best linear approximation. I2MTC (2015)
Georgios Birpoutsoukis, Johan Schoukens
Nonparametric volterra kernel estimation using regularization. I2MTC (2015)
Philippe Dreesen, Thomas Goossens, Mariya Ishteva, Lieven De Lathauwer, Johan Schoukens
Block-Decoupling Multivariate Polynomials Using the Tensor Block-Term Decomposition. LVA/ICA (2015)
Johan Schoukens, Sándor Kolumbán
Study of the minimum experiment length to identify linear dynamic systems: A variance based approach. I2MTC (2015)
Tadeusz P. Dobrowiecki, Johan Schoukens
Reducing the measurement time of the Best Linear Approximation of a nonlinear system using improved averaging methods. I2MTC (2015)
Antonio Moschitta, Johan Schoukens, Paolo Carbone
Parametric System Identification Using Quantized Data. IEEE Trans. Instrum. Meas. 64 (8) (2015)
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Decoupling Multivariate Polynomials Using First-Order Information and Tensor Decompositions. SIAM J. Matrix Anal. Appl. 36 (2) (2015)
Kaushik Mahata, Johan Schoukens
Gaussian information matrix for Wiener model identification. CoRR (2015)
Ricardo Castro-Garcia, Siamak Mehrkanoon, Anna Marconato, Johan Schoukens, Johan A. K. Suykens
SVD truncation schemes for fixed-size kernel models. IJCNN (2014)
Mikaya L. D. Lumori, Egon Geerardyn, Johan Schoukens, John Lataire
Smoothing the LPM Estimate of the Frequency Response Function Via an Impulse Response Truncation Technique. IEEE Trans. Instrum. Meas. 63 (1) (2014)
Johan Schoukens, Anna Marconato, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Gerd Vandersteen, Anne Van Mulders
System identification in a real world. AMC (2014)
Anna Marconato, Jonas Sjöberg, Johan A. K. Suykens, Johan Schoukens
Improved Initialization for Nonlinear State-Space Modeling. IEEE Trans. Instrum. Meas. 63 (4) (2014)
Sándor Kolumbán, István Vajk, Johan Schoukens
Perturbed Datasets Methods for Hypothesis Testing and Structure of Corresponding Confidence Sets. CoRR (2014)
Clara M. Ionescu, Gerd Vandersteen, Johan Schoukens, Kristine Desager, Robin De Keyser
Measuring Nonlinear Effects in Respiratory Mechanics: A Proof of Concept for Prototype Device and Method. IEEE Trans. Instrum. Meas. 63 (1) (2014)
Philippe Dreesen, Mariya Ishteva, Johan Schoukens
Decoupling Multivariate Polynomials Using First-Order Information. CoRR (2014)
Paolo Carbone, Johan Schoukens
A Rigorous Analysis of Least Squares Sine Fitting Using Quantized Data: The Random Phase Case. IEEE Trans. Instrum. Meas. 63 (3) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Johan Schoukens