High-Order Disturbance Observer-Based Neural Adaptive Control for Space Unmanned Systems With Stochastic and High-Dynamic Uncertainties

High-Order Disturbance Observer-Based Neural Adaptive Control for Space Unmanned Systems With Stochastic and High-Dynamic Uncertainties

In this paper, a high order disturbance observer based stochastic adaptive anti-disturbance control algorithm has been designed for the space unmanned systems (SUSs) with high dynamic disturbances and stochastic uncertainties. Firstly, to suppress the adverse influence of the high dynamic disturbanc...

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Bibliographic Details
Main Authors: Yao Zhang, Xin Ning, Zheng Wang, Dengxiu Yu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Adaptive backstepping control
disturbance observer
stochastic uncertainties
stochastic control
space unmanned systems
Online Access:https://ieeexplore.ieee.org/document/9440398/

Internet

https://ieeexplore.ieee.org/document/9440398/

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