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...

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Bibliographic Details
Main Authors: Xiaohui Yan, Mou Chen, Qingxian Wu, Shuyi Shao
Format: Article
Language:English
Published: SAGE Publishing 2017-05-01
Series:International Journal of Advanced Robotic Systems
Online Access:https://doi.org/10.1177/1729881417703777

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