Schoukens Johan

About Schoukens Johan

Schoukens Johan, With an exceptional h-index of 65 and a recent h-index of 30 (since 2020), a distinguished researcher at Vrije Universiteit Brussel, specializes in the field of System Identification, data driven modelling, nonlinear systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Asymptotic properties of a one-bit estimator of parametric signals

Low-complexity electrochemical-impedance spectroscopy for battery monitoring

Decoupling multivariate functions using a nonparametric filtered tensor decomposition

A data-driven nonlinear state-space model of the unsteady lift force on a pitching wing

A frequency domain approach for local module identification in dynamic networks

One-bit constrained measurements of parametric signals

Data‐driven generation of synthetic wind speeds: A comparative study

PNLSS Toolbox 1.0

Schoukens Johan Information

University

Position

___

Citations(all)

22598

Citations(since 2020)

5653

Cited By

19027

hIndex(all)

65

hIndex(since 2020)

30

i10Index(all)

374

i10Index(since 2020)

131

Email

University Profile Page

Google Scholar

Schoukens Johan Skills & Research Interests

System Identification

data driven modelling

nonlinear systems

Top articles of Schoukens Johan

Asymptotic properties of a one-bit estimator of parametric signals

2023/5/22

Low-complexity electrochemical-impedance spectroscopy for battery monitoring

IEEE Transactions on Instrumentation and Measurement

2022/11/16

Decoupling multivariate functions using a nonparametric filtered tensor decomposition

Mechanical Systems and Signal Processing

2022/11/1

A data-driven nonlinear state-space model of the unsteady lift force on a pitching wing

Journal of Fluids and Structures

2022/10/1

A frequency domain approach for local module identification in dynamic networks

Automatica

2022/8/1

One-bit constrained measurements of parametric signals

IEEE Transactions on Instrumentation and Measurement

2022/6/9

Data‐driven generation of synthetic wind speeds: A comparative study

IET Renewable Power Generation

2022/4

PNLSS Toolbox 1.0

IFAC-PapersOnLine

2021/1/1

Decoupling P-NARX models using filtered CPD

IFAC-PapersOnLine

2021/1/1

Decoupling multivariate functions using a non-parametric Filtered CPD approach

IFAC-PapersOnLine

2021/1/1

Retrieving highly structured models starting from black-box nonlinear state-space models using polynomial decoupling

Mechanical Systems and Signal Processing

2021/1/1

One-bit sine-fit

IEEE Transactions on Instrumentation and Measurement

2021/10/26

Nonparametric techniques in system identification

2021/8/4

Frequency Domain System Identification

2021/8/4

Real-time feedback control of the impurity emission front in tokamak divertor plasmas

Nature communications

2021/2/17

Applying polynomial decoupling methods to the polynomial NARX model

Mechanical Systems and Signal Processing

2021/2/1

One-bit system identification

IFAC-PapersOnLine

2021/1/1

Decoupling Non-Polynomial Functions: A Neural Network Example

IFAC-PapersOnLine

2021/1/1

Nonlinear system identification with dominating output noise-a case study on the Silverbox

IFAC-PapersOnLine

2021/1/1

User-friendly nonlinear nonparametric estimation framework for vibro-acoustic industrial measurements with multiple inputs

Mechanical Systems and Signal Processing

2020/11/1

See List of Professors in Schoukens Johan University(Vrije Universiteit Brussel)

Co-Authors

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