| An efficient DP algorithm on a tree-structure for finite horizon optimal control problems A Alla, M Falcone, L Saluzzi SIAM Journal on Scientific Computing 41 (4), A2384-A2406, 2019 | 60 | 2019 |
| A HJB-POD approach for the control of nonlinear PDEs on a tree structure A Alla, L Saluzzi Applied Numerical Mathematics 155, 192-207, 2020 | 28 | 2020 |
| Data-driven tensor train gradient cross approximation for hamilton–jacobi–bellman equations S Dolgov, D Kalise, L Saluzzi SIAM Journal on Scientific Computing 45 (5), A2153-A2184, 2023 | 26 | 2023 |
| A tree structure algorithm for optimal control problems with state constraints A Alla, M Falcone, L Saluzzi Rendiconti di Matematica e delle sue Applicazioni 41, 193-221, 2020 | 17 | 2020 |
| Approximation of optimal control problems for the Navier-Stokes equation via multilinear HJB-POD M Falcone, G Kirsten, L Saluzzi Applied Mathematics and Computation 442, 127722, 2023 | 15 | 2023 |
| Error estimates for a tree structure algorithm solving finite horizon control problems L Saluzzi, A Alla, M Falcone ESAIM: Control, Optimisation and Calculus of Variations 28 (69), 2022 | 10* | 2022 |
| High-order approximation of the finite horizon control problem via a tree structure algorithm A Alla, M Falcone, L Saluzzi IFAC-PapersOnLine 52 (2), 19-24, 2019 | 9 | 2019 |
| Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control S Dolgov, D Kalise, L Saluzzi IFAC-PapersOnLine 55 (30), 510-515, 2022 | 5 | 2022 |
| Error estimates for a tree structure algorithm for dynamic programming equations L Saluzzi, A Alla, M Falcone arXiv preprint arXiv:1812.11194, 2018 | 5 | 2018 |
| Separable approximations of optimal value functions under a decaying sensitivity assumption M Sperl, L Saluzzi, L Grüne, D Kalise 2023 62nd IEEE Conference on Decision and Control (CDC), 259-264, 2023 | 4 | 2023 |
| Feedback reconstruction techniques for optimal control problems on a tree structure A Alla, L Saluzzi WCCM-ECCOMAS CONGRESS, 2022 | 3 | 2022 |
| A Tree-Structure Algorithm for Optimal Control Problems via Dynamic Programming L Saluzzi Gran Sasso Science Institute, 2020 | 2 | 2020 |
| A Multilinear HJB-POD Method for the Optimal Control of PDEs on a Tree Structure G Kirsten, L Saluzzi Journal of Scientific Computing 101 (2), 41, 2024 | 1 | 2024 |
| Dynamical Low-Rank Approximation Strategies for Nonlinear Feedback Control Problems L Saluzzi, M Strazzullo arXiv preprint arXiv:2501.07439, 2025 | | 2025 |
| State Dependent Riccati for dynamic boundary control to optimize irrigation in Richards’ equation framework A Alla, M Berardi, L Saluzzi Mathematics and Computers in Simulation, 2025 | | 2025 |
| On the data-sparsity of the solution of Riccati equations with applications to feedback control S Massei, L Saluzzi arXiv preprint arXiv:2408.16569, 2024 | | 2024 |
| A feedback control strategy for optimizing irrigation in a Richards' Equation framework A Alla, M Berardi, L Saluzzi arXiv preprint arXiv:2407.06477, 2024 | | 2024 |
| A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control M Oster, L Saluzzi, T Wenzel arXiv preprint arXiv:2402.01402, 2024 | | 2024 |
| Statistical Proper Orthogonal Decomposition for model reduction in feedback control S Dolgov, D Kalise, L Saluzzi arXiv preprint arXiv:2311.16332, 2023 | | 2023 |
| A multilinear HJB-POD method for the optimal control of PDEs G Kirsten, L Saluzzi arXiv preprint arXiv:2305.08803, 2023 | | 2023 |
Alessandro AllaSapienza Università di RomaVerified email at uniroma1.it