Ivan Markovsky

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 45

Top Topics

Iterative Learning

Grassmann Manifold

Low Rank Approximation

Top Venues

IEEE Trans. Autom. Control.

Publications

Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
A Trust-Region Method for Data-Driven Iterative Learning Control of Nonlinear Systems. IEEE Control. Syst. Lett. 8 (2024)
Ivan Markovsky
The behavioral toolbox. L4DC (2024)
Farzan Kaviani, Ivan Markovsky, Hamid R. Ossareh
Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting. CoRR (2024)
Ivan Markovsky, Hamid R. Ossareh
Finite-data nonparametric frequency response evaluation without leakage. Autom. 159 (2024)
Ivan Markovsky, Mohammad Alsalti, Victor G. Lopez, Matthias Albrecht Müller
Identification from data with periodically missing output samples. Autom. 169 (2024)
Antonio Fazzi, Ivan Markovsky
Distance problems in the behavioral setting. Eur. J. Control 74 (2023)
Ivan Markovsky
Data-Driven Simulation of Generalized Bilinear Systems via Linear Time-Invariant Embedding. IEEE Trans. Autom. Control. 68 (2) (2023)
Prabhu Vijayan, Philippe Dreesen, Ivan Markovsky, Mariya Ishteva
Parameter Estimation of Multiple Poles by Subspace-Based Method. CoDIT (2023)
Ivan Markovsky, Eduardo Prieto-Araujo, Florian Dörfler
On the persistency of excitation. Autom. 147 (2023)
Jia Wang, Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
Fast data-driven iterative learning control for linear system with output disturbance. CoRR (2023)
Mohammad Alsalti, Ivan Markovsky, Victor G. Lopez, Matthias Albrecht Müller
Data-based system representations from irregularly measured data. CoRR (2023)
Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. ECC (2023)
Leander Hemelhof, Ivan Markovsky, Panagiotis Patrinos
Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems. CoRR (2023)
Ivan Markovsky, Florian Dörfler
Identifiability in the Behavioral Setting. IEEE Trans. Autom. Control. 68 (3) (2023)
Florian Dörfler, Jeremy Coulson, Ivan Markovsky
Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations. IEEE Trans. Autom. Control. 68 (2) (2023)
Antonio Fazzi, Ivan Markovsky
Addition and intersection of linear time-invariant behaviors. IFAC J. Syst. Control. 26 (2023)
Ivan Markovsky, Florian Dörfler
Data-driven dynamic interpolation and approximation. Autom. 135 (2022)
Vikas Kumar Mishra, Ivan Markovsky
The Set of Linear Time-Invariant Unfalsified Models With Bounded Complexity is Affine. IEEE Trans. Autom. Control. 66 (9) (2021)
Vikas Kumar Mishra, Ivan Markovsky, Antonio Fazzi, Philippe Dreesen
Data-Driven Simulation for NARX Systems. EUSIPCO (2021)
Vikas Kumar Mishra, Ivan Markovsky, Ben Grossmann
Data-Driven Tests for Controllability. IEEE Control. Syst. Lett. 5 (2) (2021)
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
Generalized algorithms for the approximate matrix polynomial GCD of reducing data uncertainties with application to MIMO system and control. J. Comput. Appl. Math. 393 (2021)
Ivan Markovsky, Florian Dörfler
Behavioral systems theory in data-driven analysis, signal processing, and control. Annu. Rev. Control. 52 (2021)
Ivan Markovsky
System theory without transfer functions and state-space? Yes, it's possible! CDC (2021)
Dieter Verbeke, Ivan Markovsky
Line Spectral Estimation with Palindromic Kernels. ICASSP (2020)
Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
Data-Driven Structured Noise Filtering via Common Dynamics Estimation. IEEE Trans. Signal Process. 68 (2020)
Gustavo Quintana-Carapia, Ivan Markovsky, Rik Pintelon, Péter Zoltán Csurcsia, Dieter Verbeke
Experimental Validation of a Data-Driven Step Input Estimation Method for Dynamic Measurements. IEEE Trans. Instrum. Meas. 69 (7) (2020)
Gustavo Quintana-Carapia, Ivan Markovsky, Rik Pintelon, Péter Zoltán Csurcsia, Dieter Verbeke
Bias and covariance of the least squares estimate in a structured errors-in-variables problem. Comput. Stat. Data Anal. 144 (2020)
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
A gradient system approach for Hankel structured low-rank approximation. CoRR (2020)
Konstantin Usevich, Ivan Markovsky
Software package for mosaic-Hankel structured low-rank approximation. CDC (2019)
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
Computing common factors of matrix polynomials with applications in system and control theory. CDC (2019)
Ivan Markovsky, Tianxiang Liu, Akiko Takeda
Subspace methods for multi-channel sum-of-exponentials common dynamics estimation. CDC (2019)
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
An ODE-based method for computing the approximate greatest common divisor of polynomials. Numer. Algorithms 81 (2) (2019)
Philippe Dreesen, Ivan Markovsky
Data-driven Simulation Using the Nuclear Norm Heuristic. ICASSP (2019)
Ivan Markovsky
On the behavior of autonomous Wiener systems. Autom. 110 (2019)
Antonio Fazzi, Nicola Guglielmi, Ivan Markovsky
Computing Approximate Common Factors of Matrix Polynomials. CoRR (2019)
Ivan Markovsky, Antonio Fazzi, Nicola Guglielmi
Applications of Polynomial Common Factor Computation in Signal Processing. LVA/ICA (2018)
Ivan Markovsky, Pier Luigi Dragotti
Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery. LVA/ICA (2018)
Ivan Markovsky, Guillaume Mercère
Subspace identification with constraints on the impulse response. Int. J. Control 90 (8) (2017)
Nicola Guglielmi, Ivan Markovsky
An ODE-Based Method for Computing the Distance of Coprime Polynomials to Common Divisibility. SIAM J. Numer. Anal. 55 (3) (2017)
Konstantin Usevich, Ivan Markovsky
Variable projection methods for approximate (greatest) common divisor computations. Theor. Comput. Sci. 681 (2017)
Ivan Markovsky
Application of low-rank approximation for nonlinear system identification. MED (2017)
Ivan Markovsky
A Missing Data Approach to Data-Driven Filtering and Control. IEEE Trans. Autom. Control. 62 (4) (2017)
Guillaume Mercère, Ivan Markovsky, José A. Ramos
Innovation-based subspace identification in open- and closed-loop. CDC (2016)
Ivan Markovsky
The most powerful unfalsified model for data with missing values. Syst. Control. Lett. 95 (2016)
Ivan Markovsky, Rik Pintelon
Identification of Linear Time-Invariant Systems From Multiple Experiments. IEEE Trans. Signal Process. 63 (13) (2015)
Ivan Markovsky
Comparison of Adaptive and Model-Free Methods for Dynamic Measurement. IEEE Signal Process. Lett. 22 (8) (2015)
Ivan Markovsky
System Identification in the Behavioral Setting - A Structured Low-Rank Approximation Approach. LVA/ICA (2015)
Ivan Markovsky
Recent progress on variable projection methods for structured low-rank approximation. Signal Process. 96 (2014)
Ivan Markovsky, Konstantin Usevich
Software for weighted structured low-rank approximation. J. Comput. Appl. Math. 256 (2014)
Konstantin Usevich, Ivan Markovsky
Adjusted least squares fitting of algebraic hypersurfaces. CoRR (2014)
Konstantin Usevich, Ivan Markovsky
Variable projection for affinely structured low-rank approximation in weighted 2-norms. J. Comput. Appl. Math. 272 (2014)
Ivan Markovsky, Jan Goos, Konstantin Usevich, Rik Pintelon
Realization and identification of autonomous linear periodically time-varying systems. Autom. 50 (6) (2014)
Konstantin Usevich, Ivan Markovsky
Optimization on a Grassmann manifold with application to system identification. Autom. 50 (6) (2014)
Stephan Rhode, Konstantin Usevich, Ivan Markovsky, Frank Gauterin
A Recursive Restricted Total Least-Squares Algorithm. IEEE Trans. Signal Process. 62 (21) (2014)
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
Factorization Approach to Structured Low-Rank Approximation with Applications. SIAM J. Matrix Anal. Appl. 35 (3) (2014)
Ivan Markovsky, Konstantin Usevich
Structured Low-Rank Approximation with Missing Data. SIAM J. Matrix Anal. Appl. 34 (2) (2013)
Mariya Ishteva, Konstantin Usevich, Ivan Markovsky
Regularized structured low-rank approximation with applications. CoRR (2013)
Konstantin Usevich, Ivan Markovsky
Variable projection methods for approximate (greatest) common divisor computations CoRR (2013)
Ivan Markovsky
Approximate system identification with missing data. CDC (2013)
Ivan Markovsky
Exact system identification with missing data. CDC (2013)
Konstantin Usevich, Ivan Markovsky
Variable projection methods for approximate GCD computations. ACM Commun. Comput. Algebra 46 (3/4) (2012)
Fengmin Le, Ivan Markovsky, Christopher Freeman, Eric Rogers
Online identification of electrically stimulated muscle models. ACC (2011)
Ivan Markovsky
On the Complex Least Squares Problem with Constrained Phase. SIAM J. Matrix Anal. Appl. 32 (3) (2011)
Ivan Markovsky
Closed-loop data-driven simulation. Int. J. Control 83 (10) (2010)
Ivan Markovsky, Mahesan Niranjan
Approximate low-rank factorization with structured factors. Comput. Stat. Data Anal. 54 (12) (2010)
Ivan Markovsky, Sasan Mahmoodi
Least-Squares Contour Alignment. IEEE Signal Process. Lett. 16 (1) (2009)
Fengmin Le, Ivan Markovsky, Christopher Freeman, Eric Rogers
Identification of electrically stimulated muscle after stroke. ECC (2009)
Marek Przedwojski, Ivan Markovsky, Eric Rogers
Identification of clock synchronization errors: A behavioral approach. CDC (2009)
Ivan Markovsky
Structured low-rank approximation and its applications. Autom. 44 (4) (2008)
Ivan Markovsky, Paolo Rapisarda
Data-driven simulation and control. Int. J. Control 81 (12) (2008)
Ivan Markovsky, Sabine Van Huffel
Overview of total least-squares methods. Signal Process. 87 (10) (2007)
Alexander Kukush, Ivan Markovsky, Sabine Van Huffel
Estimation in a linear multivariate measurement error model with a change point in the data. Comput. Stat. Data Anal. 52 (2) (2007)
Sabine Van Huffel, Ivan Markovsky, Richard J. Vaccaro, Torsten Söderström
Total least squares and errors-in-variables modeling. Signal Process. 87 (10) (2007)
Ivan Markovsky, Jan C. Willems, Bart De Moor
The Module Structure of ARMAX Systems. CDC (2006)
Ivan Markovsky, Maria Luisa Rastello, Amedeo Premoli, Alexander Kukush, Sabine Van Huffel
The element-wise weighted total least-squares problem. Comput. Stat. Data Anal. 50 (1) (2006)
Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor
Software for Approximate Linear System Identification. CDC/ECC (2005)
Ivan Markovsky, Bart De Moor
Linear dynamic filtering with noisy input and output. Autom. 41 (1) (2005)
Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon
Application of structured total least squares for system identification and model reduction. IEEE Trans. Autom. Control. 50 (10) (2005)
Ivan Markovsky, Jan C. Willems, Paolo Rapisarda, Bart De Moor
Algorithms for deterministic balanced subspace identification. Autom. 41 (5) (2005)
Ivan Markovsky, Sabine Van Huffel
On Weighted Structured Total Least Squares. LSSC (2005)
Jan C. Willems, Paolo Rapisarda, Ivan Markovsky, Bart De Moor
A note on persistency of excitation. Syst. Control. Lett. 54 (4) (2005)
Ivan Markovsky, Jan C. Willems, Bart De Moor
State Representations From Finite Time Series. CDC/ECC (2005)
Ivan Markovsky, Sabine Van Huffel, Rik Pintelon
Block-Toeplitz/Hankel Structured Total Least Squares. SIAM J. Matrix Anal. Appl. 26 (4) (2005)
Jan C. Willems, Ivan Markovsky, Paolo Rapisarda, Bart De Moor
A note on persistency of excitation. CDC (2004)
Ivan Markovsky, Jan C. Willems, Sabine Van Huffel, Bart De Moor, Rik Pintelon
Application of structured total least squares for system identification. CDC (2004)
Alexander Kukush, Ivan Markovsky, Sabine Van Huffel
Consistent estimation in an implicit quadratic measurement error model. Comput. Stat. Data Anal. 47 (1) (2004)
Ivan Markovsky, Sabine Van Huffel, Alexander Kukush
On the computation of the multivariate structured total least squares estimator. Numer. Linear Algebra Appl. 11 (5-6) (2004)
Ivan Markovsky, Alexander Kukush, Sabine Van Huffel
Consistent least squares fitting of ellipsoids. Numerische Mathematik 98 (1) (2004)
Alexander Kukush, Ivan Markovsky, Sabine Van Huffel
Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis. Comput. Stat. Data Anal. 41 (1) (2002)
Ivan Markovsky, Jan C. Willems, Bart De Moor
Continuous-time errors-in-variables filtering. CDC (2002)