Ivan Markovsky

According to our database1, Ivan Markovsky authored at least 64 papers between 2002 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Data-Driven Tests for Controllability.
IEEE Control. Syst. Lett., 2021

2020
Data-Driven Structured Noise Filtering via Common Dynamics Estimation.
IEEE Trans. Signal Process., 2020

Experimental Validation of a Data-Driven Step Input Estimation Method for Dynamic Measurements.
IEEE Trans. Instrum. Meas., 2020

A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints.
SIAM J. Matrix Anal. Appl., 2020

Bias and covariance of the least squares estimate in a structured errors-in-variables problem.
Comput. Stat. Data Anal., 2020

A gradient system approach for Hankel structured low-rank approximation.
CoRR, 2020

Line Spectral Estimation with Palindromic Kernels.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
An ODE-based method for computing the approximate greatest common divisor of polynomials.
Numer. Algorithms, 2019

Computing Approximate Common Factors of Matrix Polynomials.
CoRR, 2019

On the behavior of autonomous Wiener systems.
Autom., 2019

Data-driven Simulation Using the Nuclear Norm Heuristic.
Proceedings of the IEEE International Conference on Acoustics, 2019

Software package for mosaic-Hankel structured low-rank approximation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Subspace methods for multi-channel sum-of-exponentials common dynamics estimation.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Computing common factors of matrix polynomials with applications in system and control theory.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Applications of Polynomial Common Factor Computation in Signal Processing.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
Variable projection methods for approximate (greatest) common divisor computations.
Theor. Comput. Sci., 2017

A Missing Data Approach to Data-Driven Filtering and Control.
IEEE Trans. Autom. Control., 2017

An ODE-Based Method for Computing the Distance of Coprime Polynomials to Common Divisibility.
SIAM J. Numer. Anal., 2017

Subspace identification with constraints on the impulse response.
Int. J. Control, 2017

Application of low-rank approximation for nonlinear system identification.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

2016
The most powerful unfalsified model for data with missing values.
Syst. Control. Lett., 2016

Innovation-based subspace identification in open- and closed-loop.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Identification of Linear Time-Invariant Systems From Multiple Experiments.
IEEE Trans. Signal Process., 2015

Comparison of Adaptive and Model-Free Methods for Dynamic Measurement.
IEEE Signal Process. Lett., 2015

System Identification in the Behavioral Setting - A Structured Low-Rank Approximation Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014
Recent progress on variable projection methods for structured low-rank approximation.
Signal Process., 2014

Factorization Approach to Structured Low-Rank Approximation with Applications.
SIAM J. Matrix Anal. Appl., 2014

Variable projection for affinely structured low-rank approximation in weighted 2-norms.
J. Comput. Appl. Math., 2014

Software for weighted structured low-rank approximation.
J. Comput. Appl. Math., 2014

Adjusted least squares fitting of algebraic hypersurfaces.
CoRR, 2014

Optimization on a Grassmann manifold with application to system identification.
Autom., 2014

Realization and identification of autonomous linear periodically time-varying systems.
Autom., 2014

Nonlinearly Structured Low-Rank Approximation.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
Structured Low-Rank Approximation with Missing Data.
SIAM J. Matrix Anal. Appl., 2013

Regularized structured low-rank approximation with applications.
CoRR, 2013

Approximate system identification with missing data.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Exact system identification with missing data.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Variable projection methods for approximate GCD computations.
ACM Commun. Comput. Algebra, 2012

Low Rank Approximation - Algorithms, Implementation, Applications.
Communications and Control Engineering, Springer, ISBN: 978-1-4471-2226-5, 2012

2011
On the Complex Least Squares Problem with Constrained Phase.
SIAM J. Matrix Anal. Appl., 2011

Online identification of electrically stimulated muscle models.
Proceedings of the American Control Conference, 2011

2010
Closed-loop data-driven simulation.
Int. J. Control, 2010

Approximate low-rank factorization with structured factors.
Comput. Stat. Data Anal., 2010

2009
Least-Squares Contour Alignment.
IEEE Signal Process. Lett., 2009

Identification of electrically stimulated muscle after stroke.
Proceedings of the 10th European Control Conference, 2009

Identification of clock synchronization errors: A behavioral approach.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Data-driven simulation and control.
Int. J. Control, 2008

Structured low-rank approximation and its applications.
Autom., 2008

2007
Overview of total least-squares methods.
Signal Process., 2007

Total least squares and errors-in-variables modeling.
Signal Process., 2007

Estimation in a linear multivariate measurement error model with a change point in the data.
Comput. Stat. Data Anal., 2007

2006
The element-wise weighted total least-squares problem.
Comput. Stat. Data Anal., 2006

The Module Structure of ARMAX Systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Application of structured total least squares for system identification and model reduction.
IEEE Trans. Autom. Control., 2005

Block-Toeplitz/Hankel Structured Total Least Squares.
SIAM J. Matrix Anal. Appl., 2005

A note on persistency of excitation.
Syst. Control. Lett., 2005

Algorithms for deterministic balanced subspace identification.
Autom., 2005

Linear dynamic filtering with noisy input and output.
Autom., 2005

On Weighted Structured Total Least Squares.
Proceedings of the Large-Scale Scientific Computing, 5th International Conference, 2005

2004
Consistent least squares fitting of ellipsoids.
Numerische Mathematik, 2004

On the computation of the multivariate structured total least squares estimator.
Numer. Linear Algebra Appl., 2004

Consistent estimation in an implicit quadratic measurement error model.
Comput. Stat. Data Anal., 2004

2002
Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis.
Comput. Stat. Data Anal., 2002


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