An iterative Bregman regularization method for optimal control problems   with inequality constraints
  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. 
Frank P\"orner and Daniel Wachsmuth
math.OC