Abstract
A computational algorithm is suggested in this paper to solve optimal control problems for linear distributed parameter systems with inequality constraints.
A penalty function approach based on finite dimensional convex programming technique by Fiacco and McCormic is extended to Hilbert space and applied to this control problem.
It is shown that the optimum of original constrained problem is approached sequentially by solving unconstrained new problems, each of which has solutions interior to the constraint set.
