Computational Optimization and Applications
Barrier Methods for Optimal Control Problems with Convex Nonlinear Gradient State Constraints
SIAM Journal on Optimization
SIAM Journal on Control and Optimization
Computational Optimization and Applications
SIAM Journal on Control and Optimization
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We study barrier methods for state constrained optimal control problems with PDEs. The focus of our analysis is the path of minimizers of the barrier subproblems with the aim to provide a solid theoretical basis for function space oriented path-following algorithms. We establish results on existence, continuity, and convergence of this path. Moreover, we consider the structure of barrier subdifferentials, which play the role of dual variables.