Desensitizing algorithms for state-restrained optimal control assessments

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Abstract
An examination of the structure of the optimal control problem with hard state restraints indicates that problem sensitivity presents the principal difficulty to solution convergence in algorithm design. A design philosophy based on problem sensitivity and comprising a set. of arbitrarily chosen desensitizing algorithms is successfully applied to an illustrative example of state restrained optimal control. A full sensitivity analysis indicates the scope for application of the specimen desensitizing algorithms presented.