Ivan Markovsky

109 papers C 2Misc 2Journal 79Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Behavioral Approach for LPV Data-Driven Representations.
IEEE Trans. Autom. Control.
Chris Verhoek, Ivan Markovsky, Sofie Haesaert, Roland Tóth
2026 J jnl
Direct data-driven interpolation and approximation of linear parameter-varying system trajectories.
IFAC J. Syst. Control.
Chris Verhoek, Ivan Markovsky, Roland Tóth
2026 J jnl
Fast data-driven iterative learning control for linear system with output disturbance.
J. Frankl. Inst.
Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2026 J jnl
The most powerful unfalsified linear parameter-varying model.
Autom.
Ivan Markovsky, Chris Verhoek, Roland Tóth
2025 J jnl
Data-Based System Representations From Irregularly Measured Data.
IEEE Trans. Autom. Control.
Mohammad Alsalti, Ivan Markovsky, Victor G. Lopez, Matthias A. Müller
2025 J jnl
Direct data-driven interpolation and approximation of linear parameter-varying system trajectories.
CoRR
Chris Verhoek, Ivan Markovsky, Roland Tóth
2025 J jnl
From Time Series to Affine Systems.
CoRR
Alberto Padoan, Jaap Eising, Ivan Markovsky
2025 — conf
Gaussian behaviors: representations and data-driven control.
CDC
András Sasfi, Ivan Markovsky, Alberto Padoan, Florian Dörfler
2025 J jnl
Gaussian behaviors: representations and data-driven control.
CoRR
András Sasfi, Ivan Markovsky, Alberto Padoan, Florian Dörfler
2025 J jnl
How to Represent and Identify Affine Time-Invariant Systems?
IEEE Control. Syst. Lett.
Ivan Markovsky, Jaap Eising, Alberto Padoan
2025 J jnl
Secure Data Reconstruction: A Direct Data-Driven Approach.
CoRR
Jiaqi Yan, Ivan Markovsky, John Lygeros
2025 J jnl
Secure Data Reconstruction: A Direct Data-Driven Approach.
IEEE Trans. Autom. Control.
Jiaqi Yan, Ivan Markovsky, John Lygeros
2025 J jnl
Structured Nuclear Norm Matrix Completion: Guaranteeing Exact Recovery via Block-Column Scaling.
Numer. Linear Algebra Appl.
Konstantin Usevich, Jonathan Gillard, Philippe Dreesen, Ivan Markovsky
2025 J jnl
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting.
IEEE Trans. Autom. Control.
Farzan Kaviani, Ivan Markovsky, Hamid R. Ossareh
2024 J jnl
A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems.
IEEE Control. Syst. Lett.
Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2024 J jnl
Finite-data nonparametric frequency response evaluation without leakage.
Autom.
Ivan Markovsky, Hamid R. Ossareh
2024 J jnl
Identification from data with periodically missing output samples.
Autom.
Ivan Markovsky, Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller
2024 J jnl
Subspace tracking for online system identification.
CoRR
András Sasfi, Alberto Padoan, Ivan Markovsky, Florian Dörfler
2024 J jnl
The behavioral approach for LPV data-driven representations.
CoRR
Chris Verhoek, Ivan Markovsky, Sofie Haesaert, Roland Tóth
2024 — conf
The behavioral toolbox.
L4DC
Ivan Markovsky
2024 J jnl
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting.
CoRR
Farzan Kaviani, Ivan Markovsky, Hamid R. Ossareh
2023 J jnl
Addition and intersection of linear time-invariant behaviors.
IFAC J. Syst. Control.
Antonio Fazzi, Ivan Markovsky
2023 J jnl
Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations.
IEEE Trans. Autom. Control.
Florian Dörfler, Jeremy Coulson, Ivan Markovsky
2023 — conf
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems.
ECC
Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2023 J jnl
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems.
CoRR
Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2023 J jnl
Data-Driven Simulation of Generalized Bilinear Systems via Linear Time-Invariant Embedding.
IEEE Trans. Autom. Control.
Ivan Markovsky
2023 J jnl
Data-based system representations from irregularly measured data.
CoRR
Mohammad Alsalti, Ivan Markovsky, Victor G. Lopez, Matthias Albrecht Müller
2023 J jnl
Distance problems in the behavioral setting.
Eur. J. Control
Antonio Fazzi, Ivan Markovsky
2023 J jnl
Fast data-driven iterative learning control for linear system with output disturbance.
CoRR
Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
2023 J jnl
Identifiability in the Behavioral Setting.
IEEE Trans. Autom. Control.
Ivan Markovsky, Florian Dörfler
2023 J jnl
On the persistency of excitation.
Autom.
Ivan Markovsky, Eduardo Prieto-Araujo, Florian Dörfler
2023 C conf
Parameter Estimation of Multiple Poles by Subspace-Based Method.
CoDIT
Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva
2022 J jnl
Data-driven dynamic interpolation and approximation.
Autom.
Ivan Markovsky, Florian Dörfler
2021 J jnl
Behavioral systems theory in data-driven analysis, signal processing, and control.
Annu. Rev. Control.
Ivan Markovsky, Florian Dörfler
2021 — conf
Data-Driven Simulation for NARX Systems.
EUSIPCO
Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen
2021 J jnl
Data-Driven Tests for Controllability.
IEEE Control. Syst. Lett.
Vikas Kumar Mishra, Ivan Markovsky, Ben Grossmann
2021 J jnl
Generalized algorithms for the approximate matrix polynomial GCD of reducing data uncertainties with application to MIMO system and control.
J. Comput. Appl. Math.
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
2021 — conf
System theory without transfer functions and state-space? Yes, it's possible!
CDC
Ivan Markovsky
2021 J jnl
The Set of Linear Time-Invariant Unfalsified Models With Bounded Complexity is Affine.
IEEE Trans. Autom. Control.
Vikas Kumar Mishra, Ivan Markovsky
2020 J jnl
A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints.
SIAM J. Matrix Anal. Appl.
Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
2020 J jnl
A gradient system approach for Hankel structured low-rank approximation.
CoRR
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
2020 J jnl
Bias and covariance of the least squares estimate in a structured errors-in-variables problem.
Comput. Stat. Data Anal.
Gustavo Quintana-Carapia, Ivan Markovsky, Rik Pintelon, Péter Zoltán Csurcsia, Dieter Verbeke
2020 J jnl
Data-Driven Structured Noise Filtering via Common Dynamics Estimation.
IEEE Trans. Signal Process.
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
2020 J jnl
Experimental Validation of a Data-Driven Step Input Estimation Method for Dynamic Measurements.
IEEE Trans. Instrum. Meas.
Gustavo Quintana-Carapia, Ivan Markovsky, Rik Pintelon, Péter Zoltán Csurcsia, Dieter Verbeke
2020 Misc conf
Line Spectral Estimation with Palindromic Kernels.
ICASSP
Dieter Verbeke, Ivan Markovsky
2019 J jnl
An ODE-based method for computing the approximate greatest common divisor of polynomials.
Numer. Algorithms
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
2019 J jnl
Computing Approximate Common Factors of Matrix Polynomials.
CoRR
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
2019 — conf
Computing common factors of matrix polynomials with applications in system and control theory.
CDC
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
2019 Misc conf
Data-driven Simulation Using the Nuclear Norm Heuristic.
ICASSP
Philippe Dreesen, Ivan Markovsky
2019 J jnl
On the behavior of autonomous Wiener systems.
Autom.
Ivan Markovsky
2019 — conf
Software package for mosaic-Hankel structured low-rank approximation.
CDC
Konstantin Usevich, Ivan Markovsky
2019 — conf
Subspace methods for multi-channel sum-of-exponentials common dynamics estimation.
CDC
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
2018 — conf
Applications of Polynomial Common Factor Computation in Signal Processing.
LVA/ICA
Ivan Markovsky, Antonio Fazzi, Nicola Guglielmi
2018 — conf
Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery.
LVA/ICA
Ivan Markovsky, Pier Luigi Dragotti
2017 J jnl
A Missing Data Approach to Data-Driven Filtering and Control.
IEEE Trans. Autom. Control.
Ivan Markovsky
2017 J jnl
An ODE-Based Method for Computing the Distance of Coprime Polynomials to Common Divisibility.
SIAM J. Numer. Anal.
Nicola Guglielmi, Ivan Markovsky
2017 — conf
Application of low-rank approximation for nonlinear system identification.
MED
Ivan Markovsky
2017 J jnl
Subspace identification with constraints on the impulse response.
Int. J. Control
Ivan Markovsky, Guillaume Mercère
2017 J jnl
Variable projection methods for approximate (greatest) common divisor computations.
Theor. Comput. Sci.
Konstantin Usevich, Ivan Markovsky
2016 — conf
Innovation-based subspace identification in open- and closed-loop.
CDC
Guillaume Mercère, Ivan Markovsky, José A. Ramos
2016 J jnl
The most powerful unfalsified model for data with missing values.
Syst. Control. Lett.
Ivan Markovsky
2015 J jnl
Comparison of Adaptive and Model-Free Methods for Dynamic Measurement.
IEEE Signal Process. Lett.
Ivan Markovsky
2015 J jnl
Identification of Linear Time-Invariant Systems From Multiple Experiments.
IEEE Trans. Signal Process.
Ivan Markovsky, Rik Pintelon
2015 — conf
System Identification in the Behavioral Setting - A Structured Low-Rank Approximation Approach.
LVA/ICA
Ivan Markovsky
2014 J jnl
A Recursive Restricted Total Least-Squares Algorithm.
IEEE Trans. Signal Process.
Stephan Rhode, Konstantin Usevich, Ivan Markovsky, Frank Gauterin
2014 J jnl
Adjusted least squares fitting of algebraic hypersurfaces.
CoRR
Konstantin Usevich, Ivan Markovsky
2014 J jnl
Factorization Approach to Structured Low-Rank Approximation with Applications.
SIAM J. Matrix Anal. Appl.
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
2014 — ch.
Nonlinearly Structured Low-Rank Approximation.
Low-Rank and Sparse Modeling for Visual Analysis
Ivan Markovsky, Konstantin Usevich
2014 J jnl
Optimization on a Grassmann manifold with application to system identification.
Autom.
Konstantin Usevich, Ivan Markovsky
2014 J jnl
Realization and identification of autonomous linear periodically time-varying systems.
Autom.
Ivan Markovsky, Jan Goos, Konstantin Usevich, Rik Pintelon
2014 J jnl
Recent progress on variable projection methods for structured low-rank approximation.
Signal Process.
Ivan Markovsky
2014 J jnl
Software for weighted structured low-rank approximation.
J. Comput. Appl. Math.
Ivan Markovsky, Konstantin Usevich
2014 J jnl
Variable projection for affinely structured low-rank approximation in weighted 2-norms.
J. Comput. Appl. Math.
Konstantin Usevich, Ivan Markovsky
2013 — conf
Approximate system identification with missing data.
CDC
Ivan Markovsky
2013 — conf
Exact system identification with missing data.
CDC
Ivan Markovsky
2013 J jnl
Regularized structured low-rank approximation with applications.
CoRR
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
2013 J jnl
Structured Low-Rank Approximation with Missing Data.
SIAM J. Matrix Anal. Appl.
Ivan Markovsky, Konstantin Usevich
2013 J jnl
Variable projection methods for approximate (greatest) common divisor computations
CoRR
Konstantin Usevich, Ivan Markovsky
2012 — book
Low Rank Approximation - Algorithms, Implementation, Applications.
Ivan Markovsky
2012 J jnl
Variable projection methods for approximate GCD computations.
ACM Commun. Comput. Algebra
Konstantin Usevich, Ivan Markovsky
2011 J jnl
On the Complex Least Squares Problem with Constrained Phase.
SIAM J. Matrix Anal. Appl.
Ivan Markovsky
2011 C conf
Online identification of electrically stimulated muscle models.
ACC
Fengmin Le, Ivan Markovsky, Christopher T. Freeman, Eric Rogers
2010 J jnl
Approximate low-rank factorization with structured factors.
Comput. Stat. Data Anal.
Ivan Markovsky, Mahesan Niranjan
2010 J jnl
Closed-loop data-driven simulation.
Int. J. Control
Ivan Markovsky
2009 — conf
Identification of clock synchronization errors: A behavioral approach.
CDC
Marek Przedwojski, Ivan Markovsky, Eric Rogers
2009 — conf
Identification of electrically stimulated muscle after stroke.
ECC
Fengmin Le, Ivan Markovsky, Christopher T. Freeman, Eric Rogers
2009 J jnl
Least-Squares Contour Alignment.
IEEE Signal Process. Lett.
Ivan Markovsky, Sasan Mahmoodi
2008 J jnl
Data-driven simulation and control.
Int. J. Control
Ivan Markovsky, Paolo Rapisarda
2008 J jnl
Structured low-rank approximation and its applications.
Autom.
Ivan Markovsky
2007 J jnl
Estimation in a linear multivariate measurement error model with a change point in the data.
Comput. Stat. Data Anal.
Alexander Kukush, Ivan Markovsky, Sabine Van Huffel
2007 J jnl
Overview of total least-squares methods.
Signal Process.
Ivan Markovsky, Sabine Van Huffel
2007 J jnl
Total least squares and errors-in-variables modeling.
Signal Process.
Sabine Van Huffel, Ivan Markovsky, Richard J. Vaccaro, Torsten Söderström
2006 — conf
The Module Structure of ARMAX Systems.
CDC
Ivan Markovsky, Jan C. Willems, Bart De Moor
2006 J jnl
The element-wise weighted total least-squares problem.
Comput. Stat. Data Anal.
Ivan Markovsky, Maria Luisa Rastello, Amedeo Premoli, Alexander Kukush, Sabine Van Huffel
2005 J jnl
A note on persistency of excitation.
Syst. Control. Lett.
Jan C. Willems, Paolo Rapisarda, Ivan Markovsky, Bart De Moor
2005 J jnl
Algorithms for deterministic balanced subspace identification.
Autom.
Ivan Markovsky, Jan C. Willems, Paolo Rapisarda, Bart De Moor
2005 J jnl
Application of structured total least squares for system identification and model reduction.
IEEE Trans. Autom. Control.
Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon
2005 J jnl
Block-Toeplitz/Hankel Structured Total Least Squares.
SIAM J. Matrix Anal. Appl.
Ivan Markovsky, Sabine Van Huffel, Rik Pintelon
2005 J jnl
Linear dynamic filtering with noisy input and output.
Autom.
Ivan Markovsky, Bart De Moor
2005 — conf
On Weighted Structured Total Least Squares.
LSSC
Ivan Markovsky, Sabine Van Huffel
2005 — conf
Software for Approximate Linear System Identification.
CDC/ECC
Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor
2005 — conf
State Representations From Finite Time Series.
CDC/ECC
Ivan Markovsky, Jan C. Willems, Bart De Moor
2004 — conf
A note on persistency of excitation.
CDC
Jan C. Willems, Ivan Markovsky, Paolo Rapisarda, Bart De Moor
2004 — conf
Application of structured total least squares for system identification.
CDC
Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon
2004 J jnl
Consistent estimation in an implicit quadratic measurement error model.
Comput. Stat. Data Anal.
Alexander Kukush, Ivan Markovsky, Sabine Van Huffel
2004 J jnl
Consistent least squares fitting of ellipsoids.
Numerische Mathematik
Ivan Markovsky, Alexander Kukush, Sabine Van Huffel
2004 J jnl
On the computation of the multivariate structured total least squares estimator.
Numer. Linear Algebra Appl.
Ivan Markovsky, Sabine Van Huffel, Alexander Kukush
2002 J jnl
Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis.
Comput. Stat. Data Anal.
Alexander Kukush, Ivan Markovsky, Sabine Van Huffel
2002 — conf
Continuous-time errors-in-variables filtering.
CDC
Ivan Markovsky, Jan C. Willems, Bart De Moor