Adaptive neural network predefined time control for magnetic levitation linear motor with current constraints and mismatched disturbances
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00202-024-02655-7.pdf
Reference29 articles.
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2. Zhou L, Trumper DL (2021) Magnetically levitated linear stage with linear bearingless slice hysteresis motors. IEEE/ASME Trans Mechatron 26(2):1084–1094
3. Deng W, Zhou H, Zhou J et al (2023) Neural network-based adaptive asymptotic prescribed performance tracking control of hydraulic manipulators. IEEE Trans Syst Man Cybern Syst 53(1):285–295
4. Liang X, Yao Z, Deng W, et al (2024) Adaptive neural network finite-time tracking control for uncertain hydraulic manipulators. IEEE/ASME Trans Mechatron pp 1–12
5. Yang X, Deng W, Yao J (2023) Neural adaptive dynamic surface asymptotic tracking control of hydraulic manipulators with guaranteed transient performance. IEEE Trans Neural Netw Learn Syst 34(10):7339–7349
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