Sfoglia per Correlatore TOMASETTO, MATTEO
Mostrati risultati da 1 a 6 di 6
Bridging optimal control and reinforcement learning: a model-based framework for optimal control of Partial Differential Equations via differentiable simulation
2025/2026 Bruni, Gabriele
Enhancing the numerical approximation of parametrized optimal control problems through proper orthogonal decomposition and artificial neural network
2023/2024 Venturini, Carlo Andrea
M-SHRED: masked shallow recurrent decoders for fault-tolerant sparse sensing under missing sensor measurement
2025/2026 PASQUAL, MATTEO ROMILIO
Parametric SINDy-SHRED: a data-driven deep learning-based approach to predict and discover parametrical dynamical systems
2024/2025 COLETTI, GREGORIO
POD-NN enhanced model predictive control: application to thermal cloaking
2022/2023 Rapetti, Marco
Reduced order modeling for PDEs on parametrized geometries via shallow recurrent decoder network and operator learning
2025/2026 Schmidt, Niccolo
Mostrati risultati da 1 a 6 di 6
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