NUMERICAL PROBLEMS INVOLVED IN FINDING OPTIMAL CONTROL STRATEGIES BY NONLINEAR PROGRAMMING TECHNIQUES (original) (raw)

The paper discusses the challenges in solving optimal control problems using nonlinear programming algorithms, specifically focusing on the computational aspects of ordinary differential equations and definite integrals. It highlights that while these algorithms can yield satisfactory cost values, they often provide poor approximations of the optimal control functions. An effective strategy is proposed for utilizing these approximations as a starting point for solving two-point boundary value problems, particularly emphasizing the importance of minimizing computational costs associated with quadrature evaluations.