Luca Saluzzi

Orcid: 0000-0002-3018-6948

According to our database1, Luca Saluzzi authored at least 12 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure.
J. Sci. Comput., November, 2024

On the data-sparsity of the solution of Riccati equations with applications to feedback control.
CoRR, 2024

A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control.
CoRR, 2024

2023
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations.
SIAM J. Sci. Comput., October, 2023

Statistical Proper Orthogonal Decomposition for model reduction in feedback control.
CoRR, 2023

A multilinear HJB-POD method for the optimal control of PDEs.
CoRR, 2023

Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD.
Appl. Math. Comput., 2023

Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Feedback reconstruction techniques for optimal control problems on a tree structure.
CoRR, 2022

Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control.
CoRR, 2022

2020
A tree structure algorithm for optimal control problems with state constraints.
CoRR, 2020

2019
An Efficient DP Algorithm on a Tree-Structure for Finite Horizon Optimal Control Problems.
SIAM J. Sci. Comput., 2019


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