# Ivan Markovsky

Orcid: 0000-0001-9976-9685
According to our database

Collaborative distances:

^{1}, Ivan Markovsky authored at least 87 papers between 2002 and 2024.Collaborative distances:

## Timeline

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## Bibliography

2024

Autom., January, 2024

Uncertainty Quantification of Data-Driven Output Predictors in the Output Error Setting.

CoRR, 2024

2023

IFAC J. Syst. Control., December, 2023

Eur. J. Control, November, 2023

IEEE Trans. Autom. Control., March, 2023

Data-Driven Simulation of Generalized Bilinear Systems via Linear Time-Invariant Embedding.

IEEE Trans. Autom. Control., February, 2023

Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations.

IEEE Trans. Autom. Control., February, 2023

Fast data-driven iterative learning control for linear system with output disturbance.

CoRR, 2023

CoRR, 2023

Autom., 2023

Data-Driven Output Matching of Output-Generalized Bilinear and Linear Parameter-Varying systems.

Proceedings of the European Control Conference, 2023

Proceedings of the 9th International Conference on Control, 2023

2022

Autom., 2022

2021

The Set of Linear Time-Invariant Unfalsified Models With Bounded Complexity is Affine.

IEEE Trans. Autom. Control., 2021

Generalized algorithms for the approximate matrix polynomial GCD of reducing data uncertainties with application to MIMO system and control.

J. Comput. Appl. Math., 2021

IEEE Control. Syst. Lett., 2021

Behavioral systems theory in data-driven analysis, signal processing, and control.

Annu. Rev. Control., 2021

Proceedings of the 29th European Signal Processing Conference, 2021

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

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

CoRR, 2020

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

CoRR, 2019

Autom., 2019

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Variable projection methods for approximate (greatest) common divisor computations.

Theor. Comput. Sci., 2017

IEEE Trans. Autom. Control., 2017

An ODE-Based Method for Computing the Distance of Coprime Polynomials to Common Divisibility.

SIAM J. Numer. Anal., 2017

Int. J. Control, 2017

Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

2016

Syst. Control. Lett., 2016

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

IEEE Trans. Signal Process., 2015

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

IEEE Trans. Signal Process., 2014

Recent progress on variable projection methods for structured low-rank approximation.

Signal Process., 2014

SIAM J. Matrix Anal. Appl., 2014

Variable projection for affinely structured low-rank approximation in weighted 2-norms.

J. Comput. Appl. Math., 2014

J. Comput. Appl. Math., 2014

CoRR, 2014

Autom., 2014

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

Autom., 2014

Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013

SIAM J. Matrix Anal. Appl., 2013

CoRR, 2013

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

ACM Commun. Comput. Algebra, 2012

Communications and Control Engineering, Springer, ISBN: 978-1-4471-2226-5, 2012

2011

SIAM J. Matrix Anal. Appl., 2011

Proceedings of the American Control Conference, 2011

2010

Int. J. Control, 2010

Comput. Stat. Data Anal., 2010

2009

IEEE Signal Process. Lett., 2009

Proceedings of the 10th European Control Conference, 2009

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Int. J. Control, 2008

Autom., 2008

2007

Signal Process., 2007

Signal Process., 2007

Estimation in a linear multivariate measurement error model with a change point in the data.

Comput. Stat. Data Anal., 2007

2006

Comput. Stat. Data Anal., 2006

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

SIAM J. Matrix Anal. Appl., 2005

Syst. Control. Lett., 2005

Autom., 2005

Autom., 2005

Proceedings of the Large-Scale Scientific Computing, 5th International Conference, 2005

Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004

Numerische Mathematik, 2004

Numer. Linear Algebra Appl., 2004

Comput. Stat. Data Anal., 2004

Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2002

Consistent fundamental matrix estimation in a quadratic measurement error model arising in motion analysis.

Comput. Stat. Data Anal., 2002

Proceedings of the 41st IEEE Conference on Decision and Control, 2002