Abstract
The differential dynamic programming (DDP) algorithm is shown to be readily adapted to handle state variable inequality constrained continuous optimal control problems. A new approach, using multiplier penalty functions implemented in conjunction with the DDP algorithm, is introduced and shown to be effective. The new DDP and multiplier penalty function algorithm is compared with the gradient-restoration method before being applied to solve a problem involving control of a constrained robot arm in the plane.
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