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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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Main Authors: Rongyu Zhai, Ruiyun Qi, Bin Jiang
格式: Artigo
語言:Inglês
出版: SAGE Publishing 2017-06-01
叢編:International Journal of Advanced Robotic Systems
在線閱讀:https://doi.org/10.1177/1729881416673783
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