Članki z zahtevami za javni dostop - Marco ForgioneVeč o tem
Na voljo nekje: 15
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
Zahteve: Fondazione Cariplo, European Commission
Continuous-time system identification with neural networks: Model structures and fitting criteria
M Forgione, D Piga
European Journal of Control 59, 69-81, 2021
Zahteve: European Commission
Robot control parameters auto-tuning in trajectory tracking applications
L Roveda, M Forgione, D Piga
Control Engineering Practice 101, 104488, 2020
Zahteve: European Commission
dynoNet: A neural network architecture for learning dynamical systems
M Forgione, D Piga
International Journal of Adaptive Control and Signal Processing 35 (4), 612-626, 2021
Zahteve: European Commission
Efficient calibration of embedded MPC
M Forgione, D Piga, A Bemporad
IFAC-PapersOnLine 53 (2), 5189-5194, 2020
Zahteve: European Commission
Model structures and fitting criteria for system identification with neural networks
M Forgione, D Piga
2020 IEEE 14th International Conference on Application of Information and …, 2020
Zahteve: European Commission
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
Zahteve: Swedish Research Council
Integrated neural networks for nonlinear continuous-time system identification
B Mavkov, M Forgione, D Piga
IEEE Control Systems Letters 4 (4), 851-856, 2020
Zahteve: European Commission
Learning dynamical systems from quantized observations: a Bayesian perspective
D Piga, M Mejari, M Forgione
IEEE Transactions on Automatic Control 67 (10), 5471-5478, 2021
Zahteve: European Commission
Deep learning with transfer functions: new applications in system identification
D Piga, M Forgione, M Mejari
IFAC-PapersOnLine 54 (7), 415-420, 2021
Zahteve: European Commission
Fast predictive visual servoing: A reference governor-based approach
A Paolillo, M Forgione, D Piga, EM Hoffman
Control Engineering Practice 136, 105521, 2023
Zahteve: European Commission
Neural State-Space Models: Empirical Evaluation of Uncertainty Quantification
M Forgione, D Piga
IFAC-PapersOnLine 56 (2), 4082-4087, 2023
Zahteve: European Commission
An integral architecture for identification of continuous-time state-space LPV models
M Mejari, B Mavkov, M Forgione, D Piga
IFAC-PapersOnLine 54 (8), 7-12, 2021
Zahteve: European Commission
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
Zahteve: European Commission
Control parameters tuning based on bayesian optimization for robot trajectory tracking
L Roveda, M Forgione, D Piga
2019 Workshop on Learning for Industry 4, 902-907, 2019
Zahteve: European Commission
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