Adaptive composite learning dynamic surface control for chaotic fractional-order permanent magnet synchronous motors
This paper aims to address the tracking problem of uncertain fractional-order permanent magnet synchronous motors with parametric uncertainties. To guarantee the system stability and offset the effect of parametric uncertainties, an adaptive backstepping composite learning neural control scheme base...
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| Автор: | |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Frontiers Media S.A.
2022-11-01
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| Серія: | Frontiers in Applied Mathematics and Statistics |
| Предмети: | |
| Онлайн доступ: | https://www.frontiersin.org/articles/10.3389/fams.2022.1059756/full |
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