| Predictor-Based Tensor Regression (PBTR) for LPV subspace identification B Gunes, JW van Wingerden, M Verhaegen Automatica 79, 235-243, 2017 | 24 | 2017 |
| A variance reduction technique for identification in dynamic networks B Gunes, A Dankers, PMJ Van den Hof IFAC Proceedings Volumes 47 (3), 2842-2847, 2014 | 23 | 2014 |
| Tensor networks for MIMO LPV system identification B Gunes, JW van Wingerden, M Verhaegen International Journal of Control, 1-15, 2018 | 9 | 2018 |
| Tensor nuclear norm LPV subspace identification B Gunes, JW van Wingerden, M Verhaegen IEEE Transactions on Automatic Control 63 (11), 3897-3903, 2018 | 7 | 2018 |
| A tensor approach to linear parameter varying system identification B Gunes Delft University of Technology, 2018 | 2 | 2018 |
| Tensor regression for LTI subspace identification B Gunes, JW van Wingerden, M Verhaegen American Control Conference (ACC), 2015, 1131-1136, 2015 | 2 | 2015 |
| A novel network prediction error identification method B Gunes Master’s thesis, Delft University of Technology, 2013 | 1 | 2013 |
| Tensor regression for LTI subspace identification: free parametrizations B Gunes, JW van Wingerden, M Verhaegen IFAC-PapersOnLine 48 (28), 909-914, 2015 | | 2015 |
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyE-mail megerősítve itt: tudelft.nl