Chebyshev neural network-based attitude-tracking control for rigid spacecraft with finite-time convergence-Reference-Cited by-同舟云学术

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Chebyshev neural network-based attitude-tracking control for rigid spacecraft with finite-time convergence

Published:2020-03-03 Issue:10 Volume:94 Page:2712-2729
ISSN:0020-7179
Container-title:International Journal of Control
language:en
Short-container-title:International Journal of Control

Author:

Gao Shihong¹²,Jing Yuanwei¹,Liu Xiaoping³,Dimirovski Georgi M.⁴

Affiliation:

1. College of Information Science and Engineering, Northeastern University, Shenyang, People’s Republic of China

2. Department of Automation, Shanxi University, Taiyuan, People’s Republic of China

3. Department of Electrical Engineering, Lakehead University, Thunder Bay, Canada

4. School of Engineering, Dogus University, Kadikoy, Istanbul, Republic of Turkey

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207179.2020.1734235

Reference53 articles.

1. A fast non-singular terminal sliding mode control based on perturbation estimation for piezoelectric actuators systems

2. Two‐Layer Terminal Sliding Mode Attitude Control of Satellites Equipped with Reaction Wheels

3. Attitude guidance and tracking for spacecraft with two reaction wheels

4. Robust Adaptive Variable Structure Control of Spacecraft Under Control Input Saturation

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3. Modeling and composite adaptive neural fault-tolerant tracking control for tailless aircraft;Nonlinear Dynamics;2023-09-11

4. Finite-time active fault-tolerant attitude control for flexible spacecraft with vibration suppression and anti-unwinding;Advances in Space Research;2023-05

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