This dissertation presents novel theoretic results and algorithms for the solution of hybrid optimal control problems with indirect methods, such that existing approaches are improved and limitations are overcome: (i) The class of hybrid optimal control problems, for which optimality conditions can be provided, is extended. (ii) Different approaches for a simplified initialization are proposed. (iii) The domain of convergence is enlarged by the introduction of a min-H algorithm. (iv) Two novel algorithms reduce the computational complexity to compute an optimal sequence of discrete states. (v) Two algorithms are presented with increased online-solution capabilities. The effectiveness of the theoretic results and algorithms is verified with suitable simulation examples.
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This dissertation presents novel theoretic results and algorithms for the solution of hybrid optimal control problems with indirect methods, such that existing approaches are improved and limitations are overcome: (i) The class of hybrid optimal control problems, for which optimality conditions can be provided, is extended. (ii) Different approaches for a simplified initialization are proposed. (iii) The domain of convergence is enlarged by the introduction of a min-H algorithm. (iv) Two novel a...
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