Ivan Markovsky

Hamid R. Ossareh

Autom., January, 2024

2023

Addition and intersection of linear time-invariant behaviors.

[BibT_eX]

[DOI]

IFAC J. Syst. Control., December, 2023

Distance problems in the behavioral setting.

[BibT_eX]

[DOI]

Eur. J. Control, November, 2023

Identifiability in the Behavioral Setting.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., March, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., February, 2023

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

[BibT_eX]

[DOI]

Jeremy Coulson

IEEE Trans. Autom. Control., February, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Data-based system representations from irregularly measured data.

[BibT_eX]

[DOI]

Mohammad Alsalti

Victor G. Lopez

Matthias Albrecht Müller

CoRR, 2023

On the persistency of excitation.

[BibT_eX]

[DOI]

Eduardo Prieto-Araujo

Autom., 2023

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

[BibT_eX]

[DOI]

Leander Hemelhof

Panagiotis Patrinos

Proceedings of the European Control Conference, 2023

Parameter Estimation of Multiple Poles by Subspace-Based Method.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Control, 2023

2022

Data-driven dynamic interpolation and approximation.

[BibT_eX]

[DOI]

Autom., 2022

2021

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

[BibT_eX]

[DOI]

Vikas Kumar Mishra

IEEE Trans. Autom. Control., 2021

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

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2021

Data-Driven Tests for Controllability.

[BibT_eX]

[DOI]

Vikas Kumar Mishra

Ben Grossmann

IEEE Control. Syst. Lett., 2021

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

[BibT_eX]

[DOI]

Annu. Rev. Control., 2021

Data-Driven Simulation for NARX Systems.

[BibT_eX]

[DOI]

Proceedings of the 29th European Signal Processing Conference, 2021

System theory without transfer functions and state-space? Yes, it's possible!

[BibT_eX]

[DOI]

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

2020

Data-Driven Structured Noise Filtering via Common Dynamics Estimation.

[BibT_eX]

[DOI]

Tianxiang Liu

Akiko Takeda

IEEE Trans. Signal Process., 2020

Experimental Validation of a Data-Driven Step Input Estimation Method for Dynamic Measurements.

[BibT_eX]

[DOI]

Gustavo Quintana-Carapia

Péter Zoltán Csurcsia

Dieter Verbeke

IEEE Trans. Instrum. Meas., 2020

A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2020

Bias and covariance of the least squares estimate in a structured errors-in-variables problem.

[BibT_eX]

[DOI]

Gustavo Quintana-Carapia

Péter Zoltán Csurcsia

Dieter Verbeke

Comput. Stat. Data Anal., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Line Spectral Estimation with Palindromic Kernels.

[BibT_eX]

[DOI]

Dieter Verbeke

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

An ODE-based method for computing the approximate greatest common divisor of polynomials.

[BibT_eX]

[DOI]

Numer. Algorithms, 2019

Computing Approximate Common Factors of Matrix Polynomials.

[BibT_eX]

[DOI]

CoRR, 2019

On the behavior of autonomous Wiener systems.

[BibT_eX]

[DOI]

Autom., 2019

Data-driven Simulation Using the Nuclear Norm Heuristic.

[BibT_eX]

[DOI]

Philippe Dreesen

Proceedings of the IEEE International Conference on Acoustics, 2019

Software package for mosaic-Hankel structured low-rank approximation.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Subspace methods for multi-channel sum-of-exponentials common dynamics estimation.

[BibT_eX]

[DOI]

Tianxiang Liu

Akiko Takeda

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Computing common factors of matrix polynomials with applications in system and control theory.

[BibT_eX]

[DOI]

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018

Applications of Polynomial Common Factor Computation in Signal Processing.

[BibT_eX]

[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery.

[BibT_eX]

[DOI]

Pier Luigi Dragotti

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

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

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2017

A Missing Data Approach to Data-Driven Filtering and Control.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2017

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

[BibT_eX]

[DOI]

SIAM J. Numer. Anal., 2017

Subspace identification with constraints on the impulse response.

[BibT_eX]

[DOI]

Guillaume Mercère

Int. J. Control, 2017

Application of low-rank approximation for nonlinear system identification.

[BibT_eX]

[DOI]

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

2016

The most powerful unfalsified model for data with missing values.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2016

Innovation-based subspace identification in open- and closed-loop.

[BibT_eX]

[DOI]

Guillaume Mercère

José A. Ramos

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

2015

Identification of Linear Time-Invariant Systems From Multiple Experiments.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Comparison of Adaptive and Model-Free Methods for Dynamic Measurement.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

System Identification in the Behavioral Setting - A Structured Low-Rank Approximation Approach.

[BibT_eX]

[DOI]

Proceedings of the Latent Variable Analysis and Signal Separation, 2015

2014

A Recursive Restricted Total Least-Squares Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

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

[BibT_eX]

[DOI]

Signal Process., 2014

Factorization Approach to Structured Low-Rank Approximation with Applications.

[BibT_eX]

[DOI]

Mariya Ishteva

SIAM J. Matrix Anal. Appl., 2014

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

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2014

Software for weighted structured low-rank approximation.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2014

Adjusted least squares fitting of algebraic hypersurfaces.

[BibT_eX]

[DOI]

CoRR, 2014

Optimization on a Grassmann manifold with application to system identification.

[BibT_eX]

[DOI]

Autom., 2014

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

[BibT_eX]

[DOI]

Autom., 2014

Nonlinearly Structured Low-Rank Approximation.

[BibT_eX]

[DOI]

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

2013

Structured Low-Rank Approximation with Missing Data.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2013

Regularized structured low-rank approximation with applications.

[BibT_eX]

[DOI]

Mariya Ishteva

CoRR, 2013

Approximate system identification with missing data.

[BibT_eX]

[DOI]

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

Exact system identification with missing data.

[BibT_eX]

[DOI]

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

2012

Variable projection methods for approximate GCD computations.

[BibT_eX]

[DOI]

ACM Commun. Comput. Algebra, 2012

Low Rank Approximation - Algorithms, Implementation, Applications.

[BibT_eX]

[DOI]

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

2011

On the Complex Least Squares Problem with Constrained Phase.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2011

Online identification of electrically stimulated muscle models.

[BibT_eX]

[DOI]

Fengmin Le

Christopher T. Freeman

Eric Rogers

Proceedings of the American Control Conference, 2011

2010

Closed-loop data-driven simulation.

[BibT_eX]

[DOI]

Int. J. Control, 2010

Approximate low-rank factorization with structured factors.

[BibT_eX]

[DOI]

Mahesan Niranjan

Comput. Stat. Data Anal., 2010

2009

Least-Squares Contour Alignment.

[BibT_eX]

[DOI]

Sasan Mahmoodi

IEEE Signal Process. Lett., 2009

Identification of electrically stimulated muscle after stroke.

[BibT_eX]

[DOI]

Fengmin Le

Christopher T. Freeman

Eric Rogers

Proceedings of the 10th European Control Conference, 2009

Identification of clock synchronization errors: A behavioral approach.

[BibT_eX]

[DOI]

Marek Przedwojski

Eric Rogers

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

2008

Data-driven simulation and control.

[BibT_eX]

[DOI]

Paolo Rapisarda

Int. J. Control, 2008

Structured low-rank approximation and its applications.

[BibT_eX]

[DOI]

Autom., 2008

2007

Overview of total least-squares methods.

[BibT_eX]

[DOI]

Signal Process., 2007

Total least squares and errors-in-variables modeling.

[BibT_eX]

[DOI]

Signal Process., 2007

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

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2007

2006

The element-wise weighted total least-squares problem.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2006

The Module Structure of ARMAX Systems.

[BibT_eX]

[DOI]

Jan C. Willems

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005

Application of structured total least squares for system identification and model reduction.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2005

Block-Toeplitz/Hankel Structured Total Least Squares.

[BibT_eX]

[DOI]

SIAM J. Matrix Anal. Appl., 2005

A note on persistency of excitation.

[BibT_eX]

[DOI]

Syst. Control. Lett., 2005

Algorithms for deterministic balanced subspace identification.

[BibT_eX]

[DOI]

Autom., 2005

Linear dynamic filtering with noisy input and output.

[BibT_eX]

[DOI]

Autom., 2005

On Weighted Structured Total Least Squares.

[BibT_eX]

[DOI]

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

State Representations From Finite Time Series.

[BibT_eX]

[DOI]

Jan C. Willems

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

Software for Approximate Linear System Identification.

[BibT_eX]

[DOI]

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

2004

Consistent least squares fitting of ellipsoids.

[BibT_eX]

[DOI]

Numerische Mathematik, 2004

On the computation of the multivariate structured total least squares estimator.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2004

Consistent estimation in an implicit quadratic measurement error model.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2004

Application of structured total least squares for system identification.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2002

Continuous-time errors-in-variables filtering.

[BibT_eX]

[DOI]

Jan C. Willems