High Computationally Efficient Predictive Entry Guidance with Multiple No-Fly Zones-Reference-Cited by-同舟云学术

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High Computationally Efficient Predictive Entry Guidance with Multiple No-Fly Zones

Published:2024-11 Issue:6 Volume:37 Page:
ISSN:0893-1321
Container-title:Journal of Aerospace Engineering
language:en
Short-container-title:J. Aerosp. Eng.

Author:

Wang Shaobo¹^ORCID,Guo Yang²,Wang Shicheng³,Wang Lixin³,Tao Yanhua⁴

Affiliation:

1. Ph.D. Candidate, Xi’an Research Institute of High-Technology, Xi’an 710025, People’s Republic of China. ORCID: .

2. Associate Professor, Xi’an Research Institute of High-Technology, Xi’an 710025, People’s Republic of China (corresponding author).

3. Professor, Xi’an Research Institute of High-Technology, Xi’an 710025, People’s Republic of China.

4. Ph.D. Candidate, Xi’an Research Institute of High-Technology, Xi’an 710025, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JAEEEZ.ASENG-5653

Reference38 articles.

1. Deep Learning Based Robot for Automatically Picking Up Garbage on the Grass

2. Brunner C. W. and P. Lu. 2010. “Comparison of numerical predictor-corrector and apollo skip entry guidance algorithms.” In Proc. AIAA Guidance Navigation and Control Conf. Reston VA: American Institute of Aeronautics and Astronautics.

3. Multiconstrained Real-Time Entry Guidance Using Deep Neural Networks

4. DARPA (Defense Advanced Research Projects Agency). 2004. FALCON force application and launch from CONUS. Arlington County, VA: DARPA.

5. Graves, C. A. 1972. Apollo experience report: Mission planning for Apollo entry. Washington, DC: National Aeronautics and Space Administration.

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