An iterative Bregman regularization method for optimal control problems with inequality constraints
Optimization and Control
2016-11-04 v1
Abstract
We study an iterative regularization method of optimal control problems with control constraints. The regularization method is based on generalized Bregman distances. We provide convergence results under a combination of a source condition and a regularity condition on the active sets. We do not assume attainability of the desired state. Furthermore, a-priori regularization error estimates are obtained.
Cite
@article{arxiv.1603.05792,
title = {An iterative Bregman regularization method for optimal control problems with inequality constraints},
author = {Frank Pörner and Daniel Wachsmuth},
journal= {arXiv preprint arXiv:1603.05792},
year = {2016}
}