[1] I. Markovsky and P. Dreesen. An autonomous wiener system with polynomial nonlinearity is linear. Technical report, Dept. ELEC, Vrije Universiteit Brussel, 2018. [ bib | .pdf | Abstract ]
[2] K. Usevich and I. Markovsky. Software package for mosaic-hankel structured low-rank approximation. Technical report, Dept. ELEC, Vrije Universiteit Brussel, 2017. [ bib | .pdf | Abstract ]
[3] N. Guglielmi and I. Markovsky. Computing the distance to uncontrollability: the SISO case. Technical report, Vrije Univ. Brussel, 2014. [ bib | pdf | Abstract ]
[4] I. Markovsky. Results on the PASCAL challenge “Simple causal effects in time series”. Technical Report 16779, ECS, Univ. of Southampton, 2008. [ bib | pdf | software ]
[5] I. Markovsky, R. J. Vaccaro, and S. Van Huffel. System identification by optimal subspace estimation. Technical Report 06-210, Dept. EE, K.U.Leuven, 2006. [ bib ]
[6] I. Markovsky and S. Van Huffel. A Matlab toolbox for weighted total least squares approximation. Technical Report 04-220, Dept. EE, K.U.Leuven, 2004. [ bib ]
[7] I. Markovsky, J. C. Willems, P. Rapisarda, and B. De Moor. Algorithms for deterministic balanced subspace identification. Technical Report 04-13, Dept. EE, K.U.Leuven, 2004. [ bib ]
[8] I. Markovsky and S. Van Huffel. Software for structured total least squares estimation: User's guide. Technical Report 03-136, Dept. EE, K.U.Leuven, 2003. [ bib ]
[9] A. Kukush, I. Markovsky, and S. Van Huffel. About the convergence of the computational algorithm for the EW-TLS estimator. Technical Report 02-49, Dept. EE, K.U.Leuven, 2002. [ bib ]
[10] I. Markovsky, J. Suykens, and S. Van Huffel. Linear parametric design: Approximation, estimation and control. Technical Report 01-39, Dept. EE, K.U.Leuven, December 2000. [ bib ]

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