Numerical computation of optimal control sequences and trajectories

An iterative technique for solving state and control-constrained linear optimal control problems with strictly convex cost functions is described. The computational procedure makes use of a previously developed gradient method which is generalized by the inclusion of new kinds of constraints and modified by the consideration of projections onto specified sets.