An iterative Bregman regularization method for optimal control problems with inequality constraints

Published 18 Mar 2016 in math.OC | (1603.05792v1)

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.

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