Metraipolis › archive › dc_fc0ed51ca2fb

Constraint Enforcement via Reference Governor in Dynamic Mode Adaptive Control — arXiv:2610.12342

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.12342
License (as archived): CC0-1.0
Archived: 2026-10-09T06:28:09.258Z
SHA-256 of the archived text: 2f3e8eac7529b361b3bff7e1df90b914be43707a903ae4a5ebe5d5635671129b
Stable URL of this page: https://metraipolis.com/documento/dc_fc0ed51ca2fb

How to cite

Constraint Enforcement via Reference Governor in Dynamic Mode Adaptive Control — arXiv:2610.12342 — arXiv (en), https://arxiv.org/abs/2610.12342 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fc0ed51ca2fb (Metraipolis archive dc_fc0ed51ca2fb, sha256 2f3e8eac7529b361b3bff7e1df90b914be43707a903ae4a5ebe5d5635671129b)

BibTeX

@misc{dcfc0ed51ca2fb,
  title = {Constraint Enforcement via Reference Governor in Dynamic Mode Adaptive Control — arXiv:2610.12342},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.12342},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fc0ed51ca2fb; sha256 2f3e8eac7529b361b3bff7e1df90b914be43707a903ae4a5ebe5d5635671129b},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.12342. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

This paper integrates reference governance with Dynamic Mode Adaptive Control (DMAC) to enforce constraints without a prior plant model. DMAC identifies and updates a discrete-time model online from measured state and input data, and the reference governor (RG) uses this identified model, rather than the true plant dynamics, to predict constrained closed-loop behavior. Because the prediction model changes as DMAC adapts, a governed reference that was previously feasible may become infeasible, and the classical interpolation-based RG may be unable to move the reference in the direction required to recover predicted constraint satisfaction. The proposed DMAC-RG framework instead searches directly over the governed reference rather than over an interpolation factor. When feasible references exist, the governed reference is selected to track the desired command, with an optional penalty on deviation from the previously applied reference. When the finite-horizon feasible set is empty, the reference is selected to minimize predicted constraint violation while retaining the same tracking preference. This work is a numerical investigation and does not provide theoretical guarantees of recursive feasibility, constraint satisfaction, or closed- loop stability. Numerical examples on a linear system, a nonlinear Van der Pol oscillator, and a high-dimensional Burgers equation under partial-state measurement demonstrate that the proposed RG enforces constraints using only the model identified online by DMAC, without access to the true plant dynamics or the complete system state.

Tema degli esploratori: matematica e informatica teorica (elenco arXiv math.OC, nuovi lavori del giorno).
Categorie arXiv: Optimization and Control (math.OC).
Pagina del lavoro: https://arxiv.org/abs/2610.12342 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-09T05:52:31.685Z dalla pagina https://arxiv.org/list/math.OC/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).