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2020 – today
- 2022
[c4]Federico Foria, Mario Calicchio, Gabriele Miceli, Aniello Xie, Davide Cuccato, Alessandro Allegro:
Deep Learning Based Detachment Segmentation: the MIRET Approach. MetroXRAINE 2022: 422-426
2010 – 2019
- 2019
- [j3]Yutao Chen
, Mattia Bruschetta, Davide Cuccato, Alessandro Beghi:
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. IEEE Trans. Autom. Control. 64(7): 2712-2726 (2019) - [j2]Alberto Donazzan, Giampiero Naletto, Jacopo Belfi, Davide Cuccato, Alain Jody Corso, Angela Di Virgilio, Antonello Ortolan, Maria Guglielmina Pelizzo:
Characterization of a Nanometer Displacement Gauge for the Dimensional Control of Large Optomechanical Structures. IEEE Trans. Instrum. Meas. 68(4): 1165-1177 (2019) - 2018
- [i1]Yutao Chen, Mattia Bruschetta, Davide Cuccato, Alessandro Beghi:
An Adaptive Partial Sensitivity Updating Scheme for Fast Nonlinear Model Predictive Control. CoRR abs/1808.00877 (2018) - 2017
- [c3]Yutao Chen, Davide Cuccato, Mattia Bruschetta, Alessandro Beghi:
A fast Nonlinear Model Predictive Control strategy for real-time motion control of mechanical systems. AIM 2017: 1780-1785 - [c2]Yutao Chen, Davide Cuccato, Mattia Bruschetta, Alessandro Beghi:
An inexact sensitivity updating scheme for fast nonlinear model predictive control based on a curvature-like measure of nonlinearity. CDC 2017: 4382-4387 - 2016
- [j1]Davide Cuccato, Alessandro Saccon, Antonello Ortolan, Alessandro Beghi:
Computing Laser Beam Paths in Optical Cavities: An Approach Based on Geometric Newton Method. J. Optim. Theory Appl. 171(1): 297-315 (2016) - [c1]Davide Cuccato, Antonello Ortolan, Alessandro Beghi, Alessandro Saccon:
The impact of resonator geometry on RLG performances. CCA 2016: 1007-1011
Coauthor Index
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