A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data
- DOI
- 10.1038/s41598-026-48069-2
- Published
- 2026-04-10
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-48069-2,
title = {A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data},
author = {Yinmiao Gong and Yaofeng Feng and Xikun Lu and Li Li},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-48069-2},
url = {https://doi.org/10.1038/s41598-026-48069-2}
}RIS
TY - JOUR TI - A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data AU - Yinmiao Gong AU - Yaofeng Feng AU - Xikun Lu AU - Li Li PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-48069-2 UR - https://doi.org/10.1038/s41598-026-48069-2 ER -
APA
Gong, Y., Feng, Y., Lu, X., & Li, L. (2026). A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data. Scientific Reports. https://doi.org/10.1038/s41598-026-48069-2
Source records
- crossref · retrieved 2026-09-25T12:15:13.241Z