Luca Saluzzi

According to our database, Luca Saluzzi authored at least 18 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis and Numerical Approximation.

Luca Saluzzi

J. Optim. Theory Appl., April, 2026

Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks.

Mario Sperl, Luca Saluzzi, Dante Kalise, Lars Grüne

SIAM J. Control. Optim., 2026

2025

High order Tensor-Train-Based Schemes for High-Dimensional Mean Field Games.

Elisabetta Carlini, Luca Saluzzi

CoRR, October, 2025

A Comparison Study of Supervised Learning Techniques for the Approximation of High Dimensional Functions and Feedback Control.

Mathias Oster, Luca Saluzzi, Tizian Wenzel

Dyn. Games Appl., May, 2025

The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis, Error Estimation and Numerical Approximation.

Luca Saluzzi

CoRR, March, 2025

Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems.

Luca Saluzzi, Maria Strazzullo

CoRR, January, 2025

State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards' equation framework.

Alessandro Alla, Marco Berardi, Luca Saluzzi

Math. Comput. Simul., 2025

2024

A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure.

Gerhard Kirsten, Luca Saluzzi

J. Sci. Comput., November, 2024

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

Stefano Massei, Luca Saluzzi

CoRR, 2024

2023

Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations.

Sergey Dolgov, Dante Kalise, Luca Saluzzi

SIAM J. Sci. Comput., October, 2023

Statistical Proper Orthogonal Decomposition for model reduction in feedback control.

Sergey Dolgov, Dante Kalise, Luca Saluzzi

CoRR, 2023

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

Gerhard Kirsten, Luca Saluzzi

CoRR, 2023

Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD.

Maurizio Falcone, Gerhard Kirsten, Luca Saluzzi

Appl. Math. Comput., 2023

Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption.

Mario Sperl, Luca Saluzzi, Lars Grüne, Dante Kalise

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

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

Alessandro Alla, Luca Saluzzi

CoRR, 2022

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

Sergey Dolgov, Dante Kalise, Luca Saluzzi

CoRR, 2022

2020

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

Alessandro Alla, Maurizio Falcone, Luca Saluzzi

CoRR, 2020

2019

An Efficient DP Algorithm on a Tree-Structure for Finite Horizon Optimal Control Problems.

Alessandro Alla, Maurizio Falcone, Luca Saluzzi

SIAM J. Sci. Comput., 2019