A Constructive Approach for Neural Network Approximation Sets in Adaptive Control of Strict-Feedback Systems.
- DOI
- 10.1109/tcyb.2025.3559235
- Published
- 2025 Aug
- Container
- IEEE transactions on cybernetics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tcyb.2025.3559235,
title = {A Constructive Approach for Neural Network Approximation Sets in Adaptive Control of Strict-Feedback Systems.},
author = {Liu YF and Liu YH and Wu JW and Su A and Su CY and Lu R},
year = {2025},
journal = {IEEE transactions on cybernetics},
doi = {10.1109/tcyb.2025.3559235},
url = {https://doi.org/10.1109/tcyb.2025.3559235}
}RIS
TY - JOUR TI - A Constructive Approach for Neural Network Approximation Sets in Adaptive Control of Strict-Feedback Systems. AU - Liu YF AU - Liu YH AU - Wu JW AU - Su A AU - Su CY AU - Lu R PY - 2025 JO - IEEE transactions on cybernetics DO - 10.1109/tcyb.2025.3559235 UR - https://doi.org/10.1109/tcyb.2025.3559235 ER -
APA
YF, L., YH, L., JW, W., A, S., CY, S., & R, L. (2025). A Constructive Approach for Neural Network Approximation Sets in Adaptive Control of Strict-Feedback Systems.. IEEE transactions on cybernetics. https://doi.org/10.1109/tcyb.2025.3559235
Source records
- pubmed · retrieved 2026-09-25T10:54:40.525Z