HJB-RBF Based Approach for the Control of PDEs
Author:
Funder
CNPq
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,General Engineering,Theoretical Computer Science,Software,Applied Mathematics,Computational Mathematics,Numerical Analysis
Link
https://link.springer.com/content/pdf/10.1007/s10915-023-02208-3.pdf
Reference37 articles.
1. Alla, A., D’Elia, M., Glusa, C., Oliveria, A.H.: Control of fractional diffusion problems via dynamic programming equations. J. Peridyn. Nonlocal. Model (2023). https://doi.org/10.1007/s42102-023-00101-z
2. Alla, A., Falcone, M., Kalise, D.: An efficient policy iteration algorithm for dynamic programming equations. SIAM J. Sci. Comput. 3(7), 181–200 (2015)
3. Alla, A., Falcone, M., Saluzzi, L.: An efficient DP algorithm on a tree-structure for finite horizon optimal control problems. SIAM J. Sci. Comput. 41, A2384–A2406 (2019)
4. Alla, A., Falcone, M., Volkwein, S.: Error analysis for POD approximations of infinite horizon problems via the dynamic programming approach. SIAM J. Control Optim. 55, 3091–3115 (2017)
5. Alla, A., Saluzzi, L.: A HJB-POD approach for the control of nonlinear PDEs on a tree structure. Appl. Numer. Math. 155, 192–207 (2020)
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