Marco Forgione
Marco Forgione
Dalle Molle Institute for ArtificiaI Intelligence, SUPSI-USI, Lugano
Verified email at idsia.ch - Homepage
Title
Cited by
Cited by
Year
Run-to-Run Tuning of Model Predictive Control for Type 1 Diabetes Subjects: In Silico Trial
L Magni, M Forgione, C Toffanin, C Dalla Man, B Kovatchev, ...
Journal of diabetes science and technology 3 (5), 1091-1098, 2009
1032009
Data-driven model improvement for model-based control
M Forgione, X Bombois, PMJ Van den Hof
Automatica 52, 118-124, 2015
292015
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation
M Forgione, X Bombois, PMJ Van den Hof, H Hjalmarsson
2014 European Control Conference (ECC), 25-30, 2014
222014
Rapid crystallization process development strategy from lab to industrial scale with pat tools in skid configuration
SS Kadam, JAW Vissers, M Forgione, RM Geertman, PJ Daudey, ...
Organic Process Research & Development 16 (5), 769-780, 2012
202012
Least costly closed-loop performance diagnosis and plant re-identification
A Mesbah, X Bombois, M Forgione, H Hjalmarsson, PMJV Hof
International Journal of Control 88 (11), 2264-2276, 2015
142015
Optimal experiment design in closed loop with unknown, nonlinear and implicit controllers using stealth identification
MG Potters, X Bombois, M Forgione, PE Modén, M Lundh, H Hjalmarsson, ...
2014 European Control Conference (ECC), 726-731, 2014
142014
Performance-oriented model learning for data-driven MPC design
D Piga, M Forgione, S Formentin, A Bemporad
IEEE control systems letters 3 (3), 577-582, 2019
132019
Iterative learning control of supersaturation in batch cooling crystallization
M Forgione, A Mesbah, X Bombois, PMJ Van den Hof
2012 American Control Conference (ACC), 6455-6460, 2012
122012
Batch-to-batch model improvement for cooling crystallization
M Forgione, G Birpoutsoukis, X Bombois, A Mesbah, PJ Daudey, ...
Control Engineering Practice 41, 72-82, 2015
112015
Experiment design for batch-to-batch model-based learning control
M Forgione, X Bombois, PMJ Van den Hof
2013 American Control Conference, 3912-3917, 2013
82013
Batch-to-batch strategies for cooling crystallization
M Forgione, A Mesbah, X Bombois, PMJ Van den Hof
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 6364-6369, 2012
72012
A unified experiment design framework for detection and identification in closed-loop performance diagnosis
A Mesbah, X Bombois, M Forgione, JHA Ludlage, PE Modén, ...
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2152-2157, 2012
62012
Efficient calibration of embedded MPC
M Forgione, D Piga, A Bemporad
arXiv preprint arXiv:1911.13021, 2019
42019
Least-costly experiment design for uni-parametric linear models: An analytical approach
MG Potters, M Forgione, X Bombois, PMJ Van den Hof
2015 European Control Conference (ECC), 848-853, 2015
42015
Model structures and fitting criteria for system identification with neural networks
M Forgione, D Piga
arXiv preprint arXiv:1911.13034, 2019
12019
Robot control parameters auto-tuning in trajectory tracking applications
L Roveda, M Forgione, D Piga
Control Engineering Practice 101, 104488, 2020
2020
One-Stage Auto-Tuning Procedure of Robot Dynamics and Control Parameters for Trajectory Tracking Applications
L Roveda, M Forgione, D Piga
2020 17th International Conference on Ubiquitous Robots (UR), 105-112, 2020
2020
dynoNet: a neural network architecture for learning dynamical systems
M Forgione, D Piga
arXiv preprint arXiv:2006.02250, 2020
2020
Continuous-time system identification with neural networks: model structures and fitting criteria
M Forgione, D Piga
arXiv preprint arXiv:2006.02915, 2020
2020
Integrated Neural Networks for Nonlinear Continuous-Time System Identification
B Mavkov, M Forgione, D Piga
IEEE Control Systems Letters 4 (4), 851-856, 2020
2020
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Articles 1–20