Temporal compensation physics-informed neural network modeling repetitive small-range rotation inverse dynamics

Fangyu Li, Man Li, Honggui Han

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DOI: 10.1016/j.neunet.2026.109443
Published: 2027-01
Container: Neural Networks
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.neunet.2026.109443,
  title = {Temporal compensation physics-informed neural network modeling repetitive small-range rotation inverse dynamics},
  author = {Fangyu Li and Man Li and Honggui Han},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109443},
  url = {https://doi.org/10.1016/j.neunet.2026.109443}
}

RIS

TY  - JOUR
TI  - Temporal compensation physics-informed neural network modeling repetitive small-range rotation inverse dynamics
AU  - Fangyu Li
AU  - Man Li
AU  - Honggui Han
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109443
UR  - https://doi.org/10.1016/j.neunet.2026.109443
ER  -

APA

Li, F., Li, M., & Han, H. (2027). Temporal compensation physics-informed neural network modeling repetitive small-range rotation inverse dynamics. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109443

Source records

crossref · retrieved 2026-09-26T00:17:11.106Z