Satellite fault tolerant attitude control based on expert guided exploration of reinforcement learning agent-Reference-Cited by-同舟云学术

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Satellite fault tolerant attitude control based on expert guided exploration of reinforcement learning agent

Published:2024-03-09 Issue: Volume: Page:1-25
ISSN:0952-813X
Container-title:Journal of Experimental & Theoretical Artificial Intelligence
language:en
Short-container-title:Journal of Experimental & Theoretical Artificial Intelligence

Author:

Henna Hicham¹,Toubakh Houari¹,Kafi Mohamed Redouane¹,Gürsoy Ömer²,Sayed-Mouchaweh Moamar³,Djemai Mohamed⁴⁵

Affiliation:

1. LAGE Laboratory, Kasdi Merbah University, Ouargla, Algeria

2. Control and Automation Engineer,Yildiz Technical University, Istanbul, Turkey

3. IMT Nord-Europe, CERI SN, France

4. INSA Hauts-de-France, LAMIH UMR CNRS, UPHF, Valenciennes, France

5. Quartz-Lab, ENSEA, Cergy, France

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2024.2321152

Reference59 articles.

1. Improving Energy Efficiency in UAV Attitude Control using Deep Reinforcement Learning

2. Atkinson, R. L., Atkinson, R. C., Smith, E. E., Bem, D. J., & Nolen-Hoeksema, S. (1996). Hilgard’s introduction to psychology (12 ed.). Harcourt Brace College Publishers.

3. An adaptive deep reinforcement learning approach for MIMO PID control of mobile robots

4. LEO satellite active FTC with aerodynamic disturbance decoupled fault diagnosis

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1. Investigation of rank order centroid method for optimal generation control;Scientific Reports;2024-05-17

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