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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
62
Citations
17801
World Ranking
1421
National Ranking
13

Research.com Recognitions

  • 2011 - Fellow of the International Federation of Automatic Control (IFAC)

Overview

Michel Verhaegen is affiliated with Delft University of Technology in the Netherlands. Their research spans several interconnected disciplines, primarily within engineering and physics. The scientist has contributed extensively to fields such as Control and Systems Engineering, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics.

The research topics covered in Verhaegen's work include Fault Detection and Control Systems, Control Systems and Identification, Advanced X-ray Imaging Techniques, Optical measurement and interference techniques, Optical Coherence Tomography Applications, Advanced Fluorescence Microscopy Techniques, and Digital Holography and Microscopy.

Key recent publications by Michel Verhaegen include:

  • Modeling and state-space identification of deformable mirrors, 2020, Optics Express
  • Plug-and-play adaptive optics for commercial laser scanning fluorescence microscopes based on an adaptive lens, 2020, Optics Letters
  • Data-enabled predictive control with instrumental variables: the direct equivalence with subspace predictive control, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC)
  • Precision in iterative modulation enhanced single-molecule localization microscopy, 2022, Biophysical Journal
  • Identification of affinely parameterized state-space models with unknown inputs, 2020, Automatica

Verhaegen has collaborated extensively with a number of frequent co-authors, including Oleg Soloviev, Nguyen Hieu Thao, Chengpu Yu, Jacques Noom, and Baptiste Sinquin.

Their contributions have been published in well-established venues, such as arXiv (Cornell University), Optics Express, Automatica, Journal of the Optical Society of America A, and the Research Repository at Delft University of Technology.

In addition to journal publications, Michel Verhaegen has authored books, including a work published by Cambridge University Press titled Data-Driven Identification of Networks of Dynamic Systems in 2022.

Michel Verhaegen was recognized as a Fellow of the International Federation of Automatic Control (IFAC) in 2011.

Best Publications

  • Identification of the deterministic part of MIMO state space models given in innovations form from input-output data

    Michel Verhaegen

  • Subspace model identification Part 2. Analysis of the elementary output-error state-space model identification algorithm

    Michel Verhaegen

  • Subspace model identification Part 1. The output-error state-space model identification class of algorithms

    Michel Verhaegen;Patrick Dewilde

  • Filtering and System Identification: A Least Squares Approach

    Michel Verhaegen;Vincent Verdult

  • Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations

    OJ Gietelink;J Jeroen Ploeg;de B Bart Schutter;MH Verhaegen

  • Distributed Control for Identical Dynamically Coupled Systems: A Decomposition Approach

    P. Massioni;M. Verhaegen

  • Identifying MIMO Wiener systems using subspace model identification methods

    David Westwick;Michel Verhaegen

  • Numerical aspects of different Kalman filter implementations

    M. Verhaegen;P. Van Dooren

  • Feedback–feedforward individual pitch control for wind turbine load reduction

    T.G. van Engelen;S.K. Kanev;I. Selvam;J.W. van Wingerden

  • Subspace algorithms for the identification of multivarible dynamic errors-in-variables models

    C. T. Chou;Michel Verhaegen

  • Subspace identification of Bilinear and LPV systems for open- and closed-loop data

    Jan-Willem van Wingerden;Michel Verhaegen

  • Recursive subspace identification of linear and non-linear Wiener state-space models

    Marco Lovera;Tony Gustafsson;Michel Verhaegen

  • Identifying MIMO Hammerstein systems in the Context of Subspace Model Identification Methods

    Michel Verhaegen;David Westwick

  • Subspace identification of multivariable linear parameter-varying systems

    Vincent Verdult;Michel Verhaegen

  • Application of a subspace model identification technique to identify LTI systems operating in closed-loop

    Michel Verhaegen

  • Robust output-feedback controller design via local BMI optimization

    S. Kanev;C. Scherer;M. Verhaegen;B. De Schutter

  • Subspace identification of MIMO LPV systems using a periodic scheduling sequence

    Federico Felici;Jan-Willem van Wingerden;Michel Verhaegen

  • Kernel methods for subspace identification of multivariable LPV and bilinear systems

    Vincent Verdult;Michel Verhaegen

  • A class of subspace model identification algorithms to identify periodically and arbitrarily time-varying systems

    Michel Verhaegen;Xiaode Yu

  • On the proof of concept of a ‘Smart’ wind turbine rotor blade for load alleviation

    J. W. van Wingerden;A. W. Hulskamp;T. Barlas;B. Marrant

  • Proceedings of the IEEE International Conference on Industrial Technology 2000

    Vincent Verdult;Michel Verhaegen;Jacqueline Scherpen

  • Filtering and System Identification: References

    Michel Verhaegen;Vincent Verdult

Frequent Co-Authors

Rolf Johansson
Rolf Johansson Lund University
M Maarten Steinbuch
M Maarten Steinbuch Eindhoven University of Technology
Lennart Ljung
Lennart Ljung Linköping University
Marco Lovera
Marco Lovera Polytechnic University of Milan
Matteo Corno
Matteo Corno Polytechnic University of Milan
Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Shankar Sastry
Shankar Sastry University of California, Berkeley
Carsten W. Scherer
Carsten W. Scherer University of Stuttgart
Tsu-Chin Tsao
Tsu-Chin Tsao University of California, Los Angeles
Anders Robertsson
Anders Robertsson Lund University

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