Balancing-based model reduction for switched descriptor systems
<|reference_start|>Balancing-based model reduction for switched descriptor systems: We present a novel certified model order reduction (MOR) algorithm for switched descriptor systems applicable to large-scale systems. Our algorithm combines the idea of [Hossain \& Trenn, Technical report, 2023] to reformulate the switched descriptor system as a switched ordinary differential equation with jumps and an extension of the balanced truncation for switched ODE from [Pontes Duff et al., IEEE Trans.~Automat.~Control, 2020]. Besides being the first MOR method for switched descriptor systems applicable to the large-scale setting, we give a detailed numerical analysis by incorporating the error in the computation of the system Gramians in the a-priori error bound for the output of the reduced system. In more detail, we demonstrate, theoretically and numerically, that the standard error bound is not applicable, and a certificate must account for the numerical approximation errors.<|reference_end|>
@article{manucci2024balancing-based,
    title={Balancing-based model reduction for switched descriptor systems},
    author={Mattia Manucci and Benjamin Unger},
    journal={arXiv preprint arXiv:2404.10511},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.10511},
    primaryClass={math.NA cs.NA}
}