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Fingerprint Dive into the research topics where Johan Schoukens is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Nonlinear systems Engineering & Materials Science
Frequency response Engineering & Materials Science
Describing functions Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Dynamical systems Engineering & Materials Science
Polynomials Engineering & Materials Science
Tensors Engineering & Materials Science
Impulse response Engineering & Materials Science

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Research Output 2010 2019

  • 204 Citations
  • 19 Article
  • 16 Conference contribution
  • 2 Conference article

Gaussian process regression for the estimation of generalized frequency response functions

Stoddard, J., Birpoutsoukis, G., Schoukens, J. & Welsh, J., 1 Aug 2019, In : Automatica. 106, p. 161-167 7 p.

Research output: Contribution to journalArticleAcademicpeer-review

Frequency response
Impulse response
Nonlinear systems
Identification (control systems)

Identification of decoupled polynomial narx model using simulation error minimization

Karami, K., Westwick, D. & Schoukens, J., 1 Jul 2019, 2019 American Control Conference, ACC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 4362-4367 6 p. 8815172

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Nonlinear systems
Identification (control systems)
Linear systems
Statistical Models

Quick estimation of periodic signal parameters from 1-bit measurements

Carbone, P., Schoukens, J. & Moschitta, A., 2019, (Accepted/In press) In : IEEE Transactions on Instrumentation and Measurement. 15 p.

Research output: Contribution to journalArticleAcademicpeer-review

problem solving
2 Citations (Scopus)

Modeling the nonlinear cortical response in EEG evoked by wrist joint manipulation

Vlaar, M. P., Birpoutsoukis, G., Lataire, J., Schoukens, M., Schouten, A. C., Schoukens, J. & van der Helm, F. C. T., Jan 2018, In : IEEE Transactions on Neural Systems and Rehabilitation Engineering. 26, 1, p. 205-215

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
48 Downloads (Pure)

Nonparametric data-driven modeling of linear systems: estimating the frequency response and impulse response function

Schoukens, J., Godfrey, K. & Schoukens, M., Jul 2018, In : Control Systems, IEEE. 38, 4, p. 49-88

Research output: Contribution to journalArticleAcademicpeer-review

Open Access