$\mathsfQuITO$ $\textsfv2$: Trajectory Optimization with Uniform Error Guarantees under Path Constraints
<|reference_start|>$\mathsfQuITO$ $\textsfv2$: Trajectory Optimization with Uniform Error Guarantees under Path Constraints: This article introduces a new transcription, change point localization, and mesh refinement scheme for direct optimization-based solutions and for uniform approximation of optimal control trajectories associated with a class of nonlinear constrained optimal control problems (OCPs). The base transcription algorithm for which we establish the refinement algorithm is a $\textit{direct multiple shooting technique}$ -- $\mathsf{QuITO}$ $\textsf{v.2}$ (Quasi-Interpolation based Trajectory Optimization). The mesh refinement technique consists of two steps -- localization of certain irregular regions in an optimal control trajectory via wavelets, followed by a targeted $h$-refinement approach around such regions of irregularity. Theoretical approximation guarantees on uniform grids are presented for optimal controls with certain regularity properties along with guarantees of localization of change points by wavelet transform. Numerical illustrations are provided for control profiles involving discontinuities to show the effectiveness of the localization and refinement strategy. We also announce and make freely available a new software package developed based on $\mathsf{QuITO}$ $\textsf{v.2}$ along with its functionalities to make the article complete.<|reference_end|>
@article{ganguly2024$\mathsf{quito}$,
    title={$\mathsf{QuITO}$ $\textsf{v.2}$: Trajectory Optimization with Uniform
  Error Guarantees under Path Constraints},
    author={Siddhartha Ganguly, Rihan Aaron D'Silva, Debasish Chatterjee},
    journal={arXiv preprint arXiv:2404.13681},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.13681},
    primaryClass={math.OC cs.SY eess.SY}
}