Satellite attitude active FTC based on Geometric Approach and RBF Neural Network-Reference-Cited by-同舟云学术

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Satellite attitude active FTC based on Geometric Approach and RBF Neural Network

Published:2013-10 Issue: Volume: Page:
ISSN:
Container-title:2013 Conference on Control and Fault-Tolerant Systems (SysTol)
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Author:

Baldi P.,Castaldi P.,Mimmo N.,Simani S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6683944/6693804/06693907.pdf?arnumber=6693907

Cited by 6 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. Hybrid robust fault detection and isolation of satellite reaction wheel actuators;Journal of Control and Decision;2022-12-02

2. Neural network-based flight control systems: Present and future;Annual Reviews in Control;2022

3. Hardware-In-The-Loop Assessment of a Fault Tolerant Fuzzy Control Scheme for an Offshore Wind Farm Simulator;IFAC-PapersOnLine;2022

4. Design and Validation of a Fault Tolerant Fuzzy Control for a Wind Park High–Fidelity Simulator;2021 5th International Conference on Control and Fault-Tolerant Systems (SysTol);2021-09-29

5. Combined Geometric and Neural Network Approach to Generic Fault Diagnosis in Satellite Reaction Wheels;IFAC-PapersOnLine;2015

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