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Adaptive sliding mode fault-tolerant control for hypersonic vehicle based on radial basis function neural networks
In this article, an adaptive sliding mode fault-tolerant control scheme is proposed to address the problem of robust and fast attitude tracking for a hypersonic vehicle in the presence of unknown external disturbances, additive fault and partial loss of effectiveness fault. Firstly, the healthy and...
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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
SAGE Publishing
2017-06-01
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| シリーズ: | International Journal of Advanced Robotic Systems |
| オンライン･アクセス: | https://doi.org/10.1177/1729881416673783 |
| タグ: |
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