Anna Marconato

According to our database, Anna Marconato authored at least 17 papers between 2008 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2018

Data driven discrete-time parsimonious identification of a nonlinear state-space model for a weakly nonlinear system with short data record.

Rishi Relan, Koen Tiels, Anna Marconato, Philippe Dreesen, Johan Schoukens

CoRR, 2018

Nonlinear system modeling based on constrained Volterra series estimates.

Przemyslaw Sliwinski, Anna Marconato, Pawel Wachel, Georgios Birpoutsoukis

CoRR, 2018

Comparison of several data-driven nonlinear system identification methods on a simplified glucoregulatory system example.

Anna Marconato, Maarten Schoukens, Koen Tiels, Widanalage Dhammika Widanage, Amjad Abu-Rmileh, Johan Schoukens

CoRR, 2018

2017

Regularized nonparametric Volterra kernel estimation.

Georgios Birpoutsoukis, Anna Marconato, John Lataire, Johan Schoukens

Autom., 2017

2016

Filter-based regularisation for impulse response modelling.

Anna Marconato, Maarten Schoukens, Johan Schoukens

CoRR, 2016

Filter interpretation of regularized impulse response modeling.

Anna Marconato, Maarten Schoukens, Johan Schoukens

Proceedings of the 15th European Control Conference, 2016

2015

Parametric identification of parallel Wiener-Hammerstein systems.

Maarten Schoukens, Anna Marconato, Rik Pintelon, Gerd Vandersteen, Yves Rolain

Autom., 2015

Impact of regularization in FIR estimation for short and long data records.

Anna Marconato, Johan Schoukens

Proceedings of the 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2015

2014

Improved Initialization for Nonlinear State-Space Modeling.

Anna Marconato, Jonas Sjöberg, Johan A. K. Suykens, Johan Schoukens

IEEE Trans. Instrum. Meas., 2014

SVD truncation schemes for fixed-size kernel models.

Ricardo Castro-Garcia, Siamak Mehrkanoon, Anna Marconato, Johan Schoukens, Johan A. K. Suykens

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

System identification in a real world.

Johan Schoukens, Anna Marconato, Rik Pintelon, Yves Rolain, Maarten Schoukens, Koen Tiels, Laurent Vanbeylen, Gerd Vandersteen, Anne Van Mulders

Proceedings of the IEEE 13th International Workshop on Advanced Motion Control, 2014

2013

Study of the effective number of parameters in nonlinear identification benchmarks.

Anna Marconato, Maarten Schoukens, Yves Rolain, Johan Schoukens

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Study of User-Specified Parameters in Nonlinear Dynamics Modeling with Neural Networks.

Anna Marconato, Johan Schoukens

Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2009

A Study on Uncertainty-Complexity Tradeoffs for Dynamic Nonlinear Sensor Compensation.

Michele Gubian, Anna Marconato, Andrea Boni, Dario Petri

IEEE Trans. Instrum. Meas., 2009

2008

Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach.

Anna Marconato, Mingqing Hu, Andrea Boni, Dario Petri

IEEE Trans. Instrum. Meas., 2008

Accurate and Resource-Aware Classification Based on Measurement Data.

Anna Marconato, Michele Gubian, Andrea Boni, Bruno G. Caprile, Dario Petri

IEEE Trans. Instrum. Meas., 2008

Uncertainty-Aware Design Criteria for the Classification of Sensor Data.

Michele Gubian, Anna Marconato, Andrea Boni, Dario Petri

IEEE Trans. Instrum. Meas., 2008