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

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.

Cited by in corpus (2)

• Stability in affine optimal control problems constrained by semilinear elliptic partial differential equations
• Error estimates for the approximation of multibang control problems