Overview of total least-squares methods I Markovsky, S Van Huffel Signal processing 87 (10), 2283-2302, 2007 | 1215 | 2007 |
A note on persistency of excitation JC Willems, P Rapisarda, I Markovsky, BLM De Moor Systems & Control Letters 54 (4), 325-329, 2005 | 1016 | 2005 |
Low rank approximation I Markovsky Springer, 2012 | 533 | 2012 |
Data-driven simulation and control I Markovsky, P Rapisarda International Journal of Control 81 (12), 1946-1959, 2008 | 334 | 2008 |
Structured low-rank approximation and its applications I Markovsky Automatica 44 (4), 891-909, 2008 | 318 | 2008 |
Behavioral systems theory in data-driven analysis, signal processing, and control I Markovsky, F Dörfler Annual Reviews in Control 52, 42-64, 2021 | 243 | 2021 |
Exact and approximate modeling of linear systems: A behavioral approach I Markovsky, JC Willems, S Van Huffel, B De Moor Society for Industrial and Applied Mathematics, 2006 | 215 | 2006 |
Bridging direct and indirect data-driven control formulations via regularizations and relaxations F Dörfler, J Coulson, I Markovsky IEEE Transactions on Automatic Control 68 (2), 883-897, 2022 | 197 | 2022 |
Supervisory hybrid systems MD Lemmon, KX He, I Markovsky IEEE Control Systems Magazine 19 (4), 42-55, 1999 | 168 | 1999 |
The element-wise weighted total least-squares problem I Markovsky, ML Rastello, A Premoli, A Kukush, S Van Huffel Computational Statistics & Data Analysis 50 (1), 181-209, 2006 | 149 | 2006 |
Identification of electrically stimulated muscle models of stroke patients F Le, I Markovsky, CT Freeman, E Rogers Control Engineering Practice 18 (4), 396-407, 2010 | 139 | 2010 |
Application of structured total least squares for system identification and model reduction I Markovsky, JC Willems, S Van Huffel, B De Moor, R Pintelon IEEE Transactions on Automatic Control 50 (10), 1490-1500, 2005 | 115 | 2005 |
Algorithms for deterministic balanced subspace identification I Markovsky, JC Willems, P Rapisarda, BLM De Moor Automatica 41 (5), 755-766, 2005 | 111 | 2005 |
Recursive identification of Hammerstein systems with application to electrically stimulated muscle F Le, I Markovsky, CT Freeman, E Rogers Control Engineering Practice 20 (4), 386-396, 2012 | 110 | 2012 |
Consistent least squares fitting of ellipsoids I Markovsky, A Kukush, SV Huffel Numerische Mathematik 98, 177-194, 2004 | 105 | 2004 |
Structured low-rank approximation with missing data I Markovsky, K Usevich SIAM Journal on Matrix Analysis and Applications 34 (2), 814-830, 2013 | 96 | 2013 |
Software for weighted structured low-rank approximation I Markovsky, K Usevich Journal of Computational and Applied Mathematics 256, 278-292, 2014 | 88 | 2014 |
Identifiability in the behavioral setting I Markovsky, F Dörfler IEEE Transactions on Automatic Control 68 (3), 1667-1677, 2022 | 86 | 2022 |
On the equivalence between total least squares and maximum likelihood PCA M Schuermans, I Markovsky, PD Wentzell, S Van Huffel Analytica Chimica Acta 544 (1-2), 254-267, 2005 | 82 | 2005 |
Consistency of the structured total least squares estimator in a multivariate errors-in-variables model A Kukush, I Markovsky, S Van Huffel Journal of Statistical Planning and Inference 133 (2), 315-358, 2005 | 80 | 2005 |