Adaptive regularization and discretization of Bang-Bang optimal control problems
Electronic transactions on numerical analysis, Tome 40 (2013), pp. 249-267
In this article, Tikhonov regularization of control-constrained optimal control problems is investigated. Typically the solutions of such problems exhibit a so-called bang-bang structure. We develop a parameter choice rule that adaptively selects the Tikhonov regularization parameter depending on a posteriori computable quantities. We prove that this choice leads to optimal convergence rates with respect to the discretization parameter. The article is complemented by numerical results.
Classification :
49K20, 49N45, 65K15
Keywords: optimal control, bang-bang control, Tikhonov regularization, parameter choice rule
Keywords: optimal control, bang-bang control, Tikhonov regularization, parameter choice rule
@article{ETNA_2013__40__a13,
author = {Wachsmuth, Daniel},
title = {Adaptive regularization and discretization of {Bang-Bang} optimal control problems},
journal = {Electronic transactions on numerical analysis},
pages = {249--267},
year = {2013},
volume = {40},
zbl = {1287.49025},
language = {en},
url = {http://geodesic.mathdoc.fr/item/ETNA_2013__40__a13/}
}
Wachsmuth, Daniel. Adaptive regularization and discretization of Bang-Bang optimal control problems. Electronic transactions on numerical analysis, Tome 40 (2013), pp. 249-267. http://geodesic.mathdoc.fr/item/ETNA_2013__40__a13/