Regularizing Numerical Extremals Along Singular Arcs: A Lie-Theoretic Approach
<|reference_start|>Regularizing Numerical Extremals Along Singular Arcs: A Lie-Theoretic Approach: Numerical ``direct'' approaches to time-optimal control often fail to find solutions that are singular in the sense of the Pontryagin Maximum Principle, performing better when searching for saturated (bang-bang) solutions. In previous work by one of the authors, singular solutions were shown to exist for the time-optimal control problem for fully actuated mechanical systems under hard torque constraints. Explicit formulas, based on a Lie theoretic analysis of the problem, were given for singular segments of trajectories, but the global structure of solutions remains unknown. In this work, we review the aforementioned framework, and show how to effectively combine these formulas with the use of general-purpose optimal control software packages. By using the explicit formula given by the theory in the intervals where the numerical solution enters a singular arc, we not only obtain an algebraic expression for the control in that interval but we are also able to remove artifacts present in the numerical solution. In this way, the best features of numerical algorithms and theory complement each other and provide a better picture of the global optimal structure. We illustrate the technique on a two degree of freedom robotic arm example, using two distinct optimal control numerical software packages running on different programming languages.<|reference_end|>
@article{de oliveira2024regularizing,
    title={Regularizing Numerical Extremals Along Singular Arcs: A Lie-Theoretic
  Approach},
    author={Arthur Castello Branco de Oliveira, Milad Siami and Eduardo D. Sontag},
    journal={arXiv preprint arXiv:2406.07644},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.07644},
    primaryClass={eess.SY cs.SY}
}