Luca Saluzzi

20 papers Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis and Numerical Approximation.
J. Optim. Theory Appl.
Luca Saluzzi
2025 J jnl
A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control.
Dyn. Games Appl.
Mathias Oster, Luca Saluzzi, Tizian Wenzel
2025 J jnl
Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems.
CoRR
Luca Saluzzi, Maria Strazzullo
2025 J jnl
High order Tensor-Train-Based Schemes for High-Dimensional Mean Field Games.
CoRR
Elisabetta Carlini, Luca Saluzzi
2025 J jnl
State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards' equation framework.
Math. Comput. Simul.
Alessandro Alla, Marco Berardi, Luca Saluzzi
2025 J jnl
The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis, Error Estimation and Numerical Approximation.
CoRR
Luca Saluzzi
2024 J jnl
A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure.
J. Sci. Comput.
Gerhard Kirsten, Luca Saluzzi
2024 J jnl
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control.
CoRR
Mathias Oster, Luca Saluzzi, Tizian Wenzel
2024 J jnl
On the data-sparsity of the solution of Riccati equations with applications to feedback control.
CoRR
Stefano Massei, Luca Saluzzi
2023 J jnl
A multilinear HJB-POD method for the optimal control of PDEs.
CoRR
Gerhard Kirsten, Luca Saluzzi
2023 J jnl
Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD.
Appl. Math. Comput.
Maurizio Falcone, Gerhard Kirsten, Luca Saluzzi
2023 J jnl
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations.
SIAM J. Sci. Comput.
Sergey Dolgov, Dante Kalise, Luca Saluzzi
2023 — conf
Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption.
CDC
Mario Sperl, Luca Saluzzi, Lars Grüne, Dante Kalise
2023 J jnl
Statistical Proper Orthogonal Decomposition for model reduction in feedback control.
CoRR
Sergey Dolgov, Dante Kalise, Luca Saluzzi
2022 J jnl
Approximation of Optimal Control Problems for the Navier-Stokes equation via multilinear HJB-POD.
CoRR
Maurizio Falcone, Gerhard Kirsten, Luca Saluzzi
2022 J jnl
Data-driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations.
CoRR
Sergey Dolgov, Dante Kalise, Luca Saluzzi
2022 J jnl
Feedback reconstruction techniques for optimal control problems on a tree structure.
CoRR
Alessandro Alla, Luca Saluzzi
2022 J jnl
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control.
CoRR
Sergey Dolgov, Dante Kalise, Luca Saluzzi
2020 J jnl
A tree structure algorithm for optimal control problems with state constraints.
CoRR
Alessandro Alla, Maurizio Falcone, Luca Saluzzi
2019 J jnl
An Efficient DP Algorithm on a Tree-Structure for Finite Horizon Optimal Control Problems.
SIAM J. Sci. Comput.
Alessandro Alla, Maurizio Falcone, Luca Saluzzi