Towards Pseudospectral Control and Estimation
This thesis covers different topics related to the application of pseudospectral optimization methods in the field of automatic control. Pseudospectral optimization methods solve dynamic optimization problems by discretizing the state-space, creating a discretized version of a continuous problem. The resulting discretized optimization problems are solved by standard software for nonlinear optimiza
