A sharp regularization error estimate for bang-bang solutions for an iterative Bregman regularization method for optimal control problems
Optimization and Control
2016-06-07 v1
Abstract
In the present work, we present numerical results for an iterative method for solving an optimal control problem with inequality contraints. The method is based on generalized Bregman distances. Under a combination of a source condition and a regularity condition on the active sets convergence results are presented. Furthermore we show by numerical examples that the provided a-priori estimate is sharp in the bang-bang case.
Cite
@article{arxiv.1606.01718,
title = {A sharp regularization error estimate for bang-bang solutions for an iterative Bregman regularization method for optimal control problems},
author = {Frank Pörner},
journal= {arXiv preprint arXiv:1606.01718},
year = {2016}
}