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2010 – 2019
- 2018
[i7]Anna Marconato, Maarten Schoukens, Koen Tiels, Widanalage Dhammika Widanage, Amjad Abu-Rmileh, Johan Schoukens:
Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example. CoRR abs/1804.07035 (2018)- [i6]Przemyslaw Sliwinski, Anna Marconato, Pawel Wachel, Georgios Birpoutsoukis:
Nonlinear system modeling based on constrained Volterra series estimates. CoRR abs/1804.07258 (2018) - [i5]Anna Marconato, Jonas Sjöberg, Johan A. K. Suykens, Johan Schoukens:
Improved Initialization for Nonlinear State-Space Modeling. CoRR abs/1804.08654 (2018) - [i4]Georgios Birpoutsoukis, Anna Marconato, John Lataire, Johan Schoukens:
Regularized Nonparametric Volterra Kernel Estimation. CoRR abs/1804.10435 (2018) - [i3]Rishi Relan, Koen Tiels, Anna Marconato, Philippe Dreesen, Johan Schoukens:
Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record. CoRR abs/1805.06252 (2018) - 2017
- [j7]Georgios Birpoutsoukis, Anna Marconato, John Lataire, Johan Schoukens
:
Regularized nonparametric Volterra kernel estimation. Autom. 82: 324-327 (2017) - [i2]Maarten Schoukens, Anna Marconato, Rik Pintelon, Gerd Vandersteen, Yves Rolain:
Parametric identification of parallel Wiener-Hammerstein systems. CoRR abs/1708.06543 (2017) - 2016
- [c6]Anna Marconato, Maarten Schoukens, Johan Schoukens:
Filter interpretation of regularized impulse response modeling. ECC 2016: 1655-1660 - [i1]Anna Marconato, Maarten Schoukens, Johan Schoukens:
Filter-based regularisation for impulse response modelling. CoRR abs/1610.07353 (2016) - 2015
- [j6]Maarten Schoukens, Anna Marconato, Rik Pintelon, Gerd Vandersteen, Yves Rolain:
Parametric identification of parallel Wiener-Hammerstein systems. Autom. 51: 111-122 (2015) - [c5]Anna Marconato, Johan Schoukens:
Impact of regularization in FIR estimation for short and long data records. I2MTC 2015: 789-793 - 2014
- [j5]Anna Marconato, Jonas Sjöberg, Johan A. K. Suykens, Johan Schoukens:
Improved Initialization for Nonlinear State-Space Modeling. IEEE Trans. Instrum. Meas. 63(4): 972-980 (2014) - [c4]Johan Schoukens, Anna Marconato, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Gerd Vandersteen, Anne Van Mulders:
System identification in a real world. AMC 2014: 1-9 - [c3]Ricardo Castro-Garcia, Siamak Mehrkanoon, Anna Marconato, Johan Schoukens, Johan A. K. Suykens:
SVD truncation schemes for fixed-size kernel models. IJCNN 2014: 3922-3929 - 2013
- [c2]Anna Marconato, Johan Schoukens:
Study of User-Specified Parameters in Nonlinear Dynamics Modeling with Neural Networks. ALCOSP 2013: 593-598 - [c1]Anna Marconato, Maarten Schoukens, Yves Rolain, Johan Schoukens:
Study of the effective number of parameters in nonlinear identification benchmarks. CDC 2013: 4308-4313
2000 – 2009
- 2009
- [j4]Michele Gubian, Anna Marconato, Andrea Boni, Dario Petri:
A Study on Uncertainty-Complexity Tradeoffs for Dynamic Nonlinear Sensor Compensation. IEEE Trans. Instrum. Meas. 58(1): 26-32 (2009) - 2008
- [j3]Michele Gubian, Anna Marconato, Andrea Boni, Dario Petri:
Uncertainty-Aware Design Criteria for the Classification of Sensor Data. IEEE Trans. Instrum. Meas. 57(6): 1185-1192 (2008) - [j2]Anna Marconato, Mingqing Hu, Andrea Boni, Dario Petri:
Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach. IEEE Trans. Instrum. Meas. 57(8): 1689-1694 (2008) - [j1]Anna Marconato, Michele Gubian, Andrea Boni, Bruno G. Caprile, Dario Petri:
Accurate and Resource-Aware Classification Based on Measurement Data. IEEE Trans. Instrum. Meas. 57(9): 2044-2051 (2008)
Coauthor Index
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