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Luca Saluzzi
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2020 – today
- 2025
- [j5]Alessandro Alla
, Marco Berardi, Luca Saluzzi
State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards' equation framework. Math. Comput. Simul. 232: 261-275 (2025) - [i11]Luca Saluzzi, Maria Strazzullo:
Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems. CoRR abs/2501.07439 (2025) - [i10]Luca Saluzzi:
The State-Dependent Riccati Equation in Nonlinear Optimal Control: Analysis, Error Estimation and Numerical Approximation. CoRR abs/2503.01587 (2025) - 2024
- [j4]Gerhard Kirsten, Luca Saluzzi
A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure. J. Sci. Comput. 101(2): 41 (2024) - [i9]Mathias Oster, Luca Saluzzi, Tizian Wenzel:
A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control. CoRR abs/2402.01402 (2024) - [i8]Stefano Massei, Luca Saluzzi:
On the data-sparsity of the solution of Riccati equations with applications to feedback control. CoRR abs/2408.16569 (2024) - 2023
- [j3]Maurizio Falcone, Gerhard Kirsten, Luca Saluzzi
Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD. Appl. Math. Comput. 442: 127722 (2023) - [j2]Sergey Dolgov, Dante Kalise
Data-Driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. SIAM J. Sci. Comput. 45(5): 2153- (2023) - [c1]Mario Sperl
Separable Approximations of Optimal Value Functions Under a Decaying Sensitivity Assumption. CDC 2023: 259-264 - [i7]Gerhard Kirsten, Luca Saluzzi:
A multilinear HJB-POD method for the optimal control of PDEs. CoRR abs/2305.08803 (2023) - [i6]Sergey Dolgov, Dante Kalise
Statistical Proper Orthogonal Decomposition for model reduction in feedback control. CoRR abs/2311.16332 (2023) - 2022
- [i5]Sergey Dolgov, Dante Kalise, Luca Saluzzi:
Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control. CoRR abs/2202.11801 (2022) - [i4]Sergey Dolgov, Dante Kalise
Data-driven Tensor Train Gradient Cross Approximation for Hamilton-Jacobi-Bellman Equations. CoRR abs/2205.05109 (2022) - [i3]Maurizio Falcone, Gerhard Kirsten, Luca Saluzzi:
Approximation of Optimal Control Problems for the Navier-Stokes equation via multilinear HJB-POD. CoRR abs/2207.07349 (2022) - [i2]Alessandro Alla, Luca Saluzzi:
Feedback reconstruction techniques for optimal control problems on a tree structure. CoRR abs/2210.02375 (2022) - 2020
- [i1]Alessandro Alla, Maurizio Falcone, Luca Saluzzi:
A tree structure algorithm for optimal control problems with state constraints. CoRR abs/2009.12384 (2020)
2010 – 2019
- 2019
- [j1]Alessandro Alla, Maurizio Falcone
An Efficient DP Algorithm on a Tree-Structure for Finite Horizon Optimal Control Problems. SIAM J. Sci. Comput. 41(4): A2384-A2406 (2019)
Coauthor Index
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