Regularized nonparametric Volterra kernel estimation G Birpoutsoukis, A Marconato, J Lataire, J Schoukens Automatica 82, 324-327, 2017 | 77 | 2017 |
Parametric identification of parallel Wiener–Hammerstein systems M Schoukens, A Marconato, R Pintelon, G Vandersteen, Y Rolain Automatica 51, 111-122, 2015 | 60 | 2015 |
Filter‐based regularisation for impulse response modelling A Marconato, M Schoukens, J Schoukens IET Control Theory & Applications 11 (2), 194-204, 2017 | 58 | 2017 |
Identification of the Silverbox benchmark using nonlinear state-space models A Marconato, J Sjöberg, J Suykens, J Schoukens IFAC Proceedings. 16th IFAC Symposium on System Identification 16 (1), 632-637, 2012 | 37 | 2012 |
Improved Initialization for Nonlinear State-Space Modeling A Marconato, J Sjoberg, JAK Suykens, J Schoukens IEEE Transactions on Instrumentation and Measurement 63 (4), 972 – 980, 2014 | 35 | 2014 |
Dynamic compensation of nonlinear sensors by a learning-from-examples approach A Marconato, M Hu, A Boni, D Petri Instrumentation and Measurement, IEEE Transactions on 57 (8), 1689-1694, 2008 | 29 | 2008 |
System identification in a real world J Schoukens, A Marconato, R Pintelon, Y Rolain, M Schoukens, K Tiels, ... 2014 IEEE 13th International Workshop on Advanced Motion Control (AMC), 1-9, 2014 | 22 | 2014 |
Identification of Wiener–Hammerstein Benchmark data by means of support vector machines A Marconato, J Schoukens 15th IFAC symposium on system identification, 816-819, 2009 | 22 | 2009 |
Study of the effective number of parameters in nonlinear identification benchmarks A Marconato, M Schoukens, Y Rolain, J Schoukens 52nd IEEE Conference on Decision and Control, 4308-4313, 2013 | 21 | 2013 |
Initialization of nonlinear state-space models applied to the Wiener–Hammerstein benchmark A Marconato, J Sjöberg, J Schoukens Control Engineering Practice 20 (11), 1126-1132, 2012 | 21 | 2012 |
Non‐linear system modelling based on constrained Volterra series estimates P Śliwiński, A Marconato, P Wachel, G Birpoutsoukis IET Control Theory & Applications 11 (15), 2623-2629, 2017 | 20 | 2017 |
An Unstructured Flexible Nonlinear Model for the Cascaded Water-tanks Benchmark R Relan, K Tiels, A Marconato, J Schoukens IFAC-PapersOnLine 50 (1), 452-457, 2017 | 20 | 2017 |
Accurate and resource-aware classification based on measurement data A Marconato, M Gubian, A Boni, BG Caprile, D Petri IEEE Transactions on Instrumentation and Measurement 57 (9), 2044-2051, 2008 | 12 | 2008 |
A study on uncertainty–complexity tradeoffs for dynamic nonlinear sensor compensation M Gubian, A Marconato, A Boni, D Petri IEEE Transactions on Instrumentation and Measurement 58 (1), 26-32, 2008 | 10 | 2008 |
Model selection for power efficient analysis of measurement data A Marconato, A Boni, B Caprile, D Petri 2006 IEEE Instrumentation and Measurement Technology Conference Proceedings …, 2006 | 9 | 2006 |
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record R Relan, K Tiels, A Marconato, P Dreesen, J Schoukens Mechanical Systems and Signal Processing 104, 929-943, 2018 | 8 | 2018 |
Comparison of several data-driven non-linear system identification methods on a simplified glucoregulatory system example A Marconato, M Schoukens, K Tiels, WD Widanage, A Abu-Rmileh, ... IET Control Theory & Applications 8 (17), 1921-1930, 2014 | 8 | 2014 |
Linking regularization and low-rank approximation for impulse response modeling A Marconato, L Ljung, Y Rolain, J Schoukens 33rd Benelux Meeting on Systems and Control, 2014 | 6 | 2014 |
Linking regularization and low-rank approximation for impulse response modeling A Marconato, L Ljung, Y Rolain, J Schoukens Proceedings of the 19th IFAC World Congress, 2014 | 6 | 2014 |
Separate initialization of dynamics and nonlinearities in nonlinear state-space models A Marconato, J Sjöberg, J Suykens, J Schoukens 2012 IEEE International Instrumentation and Measurement Technology …, 2012 | 6 | 2012 |