Adaptive Backstepping-Based Neural Network Control for Hypersonic Reentry Vehicle With Input Constraints

Adaptive Backstepping-Based Neural Network Control for Hypersonic Reentry Vehicle With Input Constraints

In this paper, the attitude tracking control problem of hypersonic reentry vehicles is addressed by synthesizing a neural network (NN) using the backstepping control technique. The control-oriented model is formulated with mismatched and matched lumped uncertainties, which reflect the multiple aerod...

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Bibliographic Details
Main Authors: Guangfu Ma, Chen Chen, Yueyong Lyu, Yanning Guo
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Neural network
disturbance observer
backstepping
input constraints
HRV
Online Access:https://ieeexplore.ieee.org/document/8169033/

Internet

https://ieeexplore.ieee.org/document/8169033/

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