An adaptive multilevel radial basis function scheme for the HJB equation * *This research work has been partially supported by the INDAM-GNCS project Metodi ad alta risoluzione per problemi evolutivi fortemente nonlineari and by TU Munich and Roma Tre University-Reference-Cited by-同舟云学术

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An adaptive multilevel radial basis function scheme for the HJB equation * *This research work has been partially supported by the INDAM-GNCS project Metodi ad alta risoluzione per problemi evolutivi fortemente nonlineari and by TU Munich and Roma Tre University

Published:2017-07 Issue:1 Volume:50 Page:1643-1648
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Ferretti G.,Ferretti R.,Junge O.,Schreiber A.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference26 articles.

1. An adaptive least-squares collocation radial basis function method for the HJB equation;Alwardi;J. Glob. Opt.,2012

2. Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations;Bardi,1997

3. Convergence of approximation schemes for fully nonlinear second order equations;Barles;Asymptotic Analysis,1991

4. Dynamic programming;Bellman,1957

5. Bertsekas, D. (1987). Dynamic programming. Prentice Hall Inc., Englewood Cliffs, NJ.

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1. HJB-RBF Based Approach for the Control of PDEs;Journal of Scientific Computing;2023-05-31

2. Numerical simulation of collision-free near-shortest path generation for Dubins vehicle via Hamilton–Jacobi–Bellman equation: A case study;Cogent Engineering;2020-01-01

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