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| Główni autorzy: | , |
|---|---|
| Format: | Preprint |
| Wydane: |
2025
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| Hasła przedmiotowe: | |
| Dostęp online: | https://arxiv.org/abs/2512.03410 |
| Etykiety: |
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Spis treści:
- A strategy for reducing the number of iterations and computational burden in shrinking horizon Model Predictive Control (SH-MPC) when steering into a prescribed terminal set despite unmeasured disturbances is proposed. This strategy exploits dynamic adjustment of the terminal cost weight and horizon length while ensuring that the terminal set is reached within a desired number of steps. A lower Hessian condition number which facilitates the computational reduction is proved under assumptions, and an example of spacecraft nutation damping using the proposed approach is reported.