Online control for pressure regulation of oxygen mask based on neural network
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11768-024-00222-w.pdf
Reference44 articles.
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3. Wang, M., Yan, G., Yu, L., Xie, W., & Dai, Y. (2019). Effects of different artificial oxygen-supply systems on migrants’ physical and psychological reactions in high-altitude tunnel construction. Building and Environment, 149, 458–467. https://doi.org/10.1016/j.buildenv.2018.12.032
4. Jiang, Y., Sun, Q., Zhang, X., & Chen, Z. (2017). Pressure regulation for oxygen mask based on active disturbance rejection control. IEEE Transactions on Industrial Electronics, 64(8), 6402–6411. https://doi.org/10.1109/TIE.2017.2677323
5. Suo, D., Agarwal, N., Xia, W., Chen, X., Ghai, U., Yu, A., Gradu, P., Singh, K., Zhang, C., & Minasyan, E., et al. Machine learning for mechanical ventilation control (2021). https://doi.org/10.48550/arXiv.2102.06779
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