Projects per year
Personal profile
Expertise
I obtained PhD in electrical engineering from the Katholieke Universiteit Leuven in 2005. Since then, I was teaching and doing research in control and system theory at the School of Electronics and Computer Science (ECS) of the University of Southampton and the Department of Fundamental Electricity and Instrumentation (ELEC) of the Vrije Universiteit Brussel, where I am currently an associate processor. My expertise is in structured low-rank approximation, system identification, and data-driven control, topics on which I've published 80 peer-reviewed papers, 8 book chapters, and 2 monographs. I am an associate editor of the International Journal of Control and SIAM Journal of Matrix Analysis and Applications. In 2011, I was awarded an ERC starting grant on the topic of structured low-rank approximation.
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Collaborations and top research areas from the last five years
Projects
- 8 Finished
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FWOEOS1: Structured Low-Rank matrix / tensor approximation: numerical optimization-based algorithms and applications
Markovsky, I., Ishteva, M. K., De Lathauwer, L., De Moor, B., Patrinos, P., Van Barel, M., Absil, P. A., Glineur, F., Gillis, N. & Lataire, J.
1/01/18 → 31/12/23
Project: Fundamental
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OZRSRF24: Structured low-rank approximation: Theory, algorithms, and applications - SRF mandate
1/10/17 → 30/09/22
Project: Fundamental
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FWOAL827: Block-oriented nonlinear identification using Volterra series
Markovsky, I., Ishteva, M. K. & Dreesen, P.
1/01/17 → 31/12/20
Project: Fundamental
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FWOAL758: Decoupling multivariate polynomials in nonlinear system identification
Markovsky, I., Ishteva, M. K., Dreesen, P., Usevich, K. & Schoukens, J.
1/01/15 → 31/12/18
Project: Fundamental
Research output
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Bias correction for Vandermonde low-rank approximation
Fazzi, A., Kukush, A. & Markovsky, I., Jul 2024, In: Econometrics and Statistics. 31, p. 38-48 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)61 Downloads (Pure) -
Parameter Estimation of Multiple Poles by Subspace-Based Method
Vijayan, P., Dreesen, P., Markovsky, I. & Ishteva, M. K., Oct 2023, 2023 9th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, p. 1948-1953 6 p. (9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research
Open AccessFile36 Downloads (Pure) -
A gradient system approach for Hankel structured low-rank approximation
Fazzi, A., Guglielmi, N. & Markovsky, I., Aug 2021, In: Linear Algebra & its Applications. 623, p. 236-257 22 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile6 Citations (Scopus)26 Downloads (Pure) -
Behavioral systems theory in data-driven analysis, signal processing, and control
Markovsky, I. & Dörfler, F., Dec 2021, In: Annual Reviews in Control. 52, p. 42-64 23 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile182 Citations (Scopus)1555 Downloads (Pure) -
Common dynamic estimation via structured low-rank approximation with multiple rank constraints
Fazzi, A., Guglielmi, N., Markovsky, I. & Usevich, K., 1 Jul 2021, In: IFAC-PapersOnLine. 54, 7, p. 103-107 5 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus)
Activities
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Dynamic measurement: application of system identification in metrology
Ivan Markovsky (Speaker)
31 Oct 2020Activity: Talk or presentation › Talk at an external academic organisation
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Data-driven structured noise filtering via common dynamics estimation
Ivan Markovsky (Invited speaker)
Sep 2019Activity: Talk or presentation › Talk or presentation at a workshop/seminar
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Structured low-rank approximation approach to sum-of-exponentials modeling
Ivan Markovsky (Speaker)
1 Jun 2018Activity: Talk or presentation › Talk or presentation at a conference
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System identification in the behavioral setting
Ivan Markovsky (Speaker)
14 Mar 2018Activity: Talk or presentation › Talk at an external academic organisation
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The no free lunch principle in data modeling
Ivan Markovsky (Speaker)
27 Aug 2018 → 31 Aug 2018Activity: Talk or presentation › Talk or presentation at a workshop/seminar
Thesis
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Connection between nonlinear state-space and block-oriented models
Author: Saragossi, S., Dreesen, P., Markovsky, I., Tiels, K. & Fakhrizadeh Esfahani, A., 2017Supervisor: Dreesen, P. (Promotor)
Student thesis: Master's Thesis