Combined Fault Diagnosis Scheme Based on Recurrent Neural Network and H− Observer for Satellite Attitude Control System-Reference-Cited by-同舟云学术

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Combined Fault Diagnosis Scheme Based on Recurrent Neural Network and H− Observer for Satellite Attitude Control System

Published:2023-09 Issue:5 Volume:36 Page:
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Long Dizhi¹,Wen Xin²,Liu Xuewen³,Wei Bingyi⁴,Chen Xin⁴

Affiliation:

1. Engineer, Beijing Aerospace Automatic Control Institute, China Academy of Launch Vehicle Technology, Beijing 100854, China (corresponding author).

2. Professor, College of Astronautics, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China.

3. Ph.D. Candidate, College of Astronautics, Nanjing Univ. of Aeronautics and Astronautics, Nanjing 210016, China.

4. Engineer, Beijing Aerospace Automatic Control Institute, China Academy of Launch Vehicle Technology, Beijing 100854, China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Aerospace Engineering,General Materials Science,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JAEEEZ.ASENG-4583

Reference32 articles.

1. Hybrid robust iris recognition approach using iris image pre‐processing, two‐dimensional gabor features and multi‐layer perceptron neural network/PSO

2. Fault diagnosis for satellite sensors and actuators using nonlinear geometric approach and adaptive observers

3. A stable fault detection observer design in finite frequency domain

4. Small Fault Detection for a Class of Closed-Loop Systems via Deterministic Learning

5. Real-time optimal control for irregular asteroid landings using deep neural networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Continuous Learning Method for Fault Location in Spacecraft Attitude Control System;2023 China Automation Congress (CAC);2023-11-17

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