Adaptive neural tracking control for near-space vehicles with stochastic disturbances
In this article, an adaptive neural tracking controller is designed for near-space vehicles with stochastic disturbances and unknown parametric uncertainties. Based on the great nonlinear function approximation capability of neural networks, the unknown system uncertainties are tackled using the rad...
Main Authors: | Xiaohui Yan, Mou Chen, Qingxian Wu, Shuyi Shao |
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Format: | Article |
Language: | English |
Published: |
SAGE Publishing
2017-05-01
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Series: | International Journal of Advanced Robotic Systems |
Online Access: | https://doi.org/10.1177/1729881417703777 |
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