Fuel optimal manoeuvres for multiple spacecraft formation reconfiguration using multi-agent optimization-Reference-Cited by-同舟云学术

Fuel optimal manoeuvres for multiple spacecraft formation reconfiguration using multi-agent optimization

Published:2002 Issue:2-3 Volume:12 Page:243-283
ISSN:1049-8923
Container-title:International Journal of Robust and Nonlinear Control
language:en
Short-container-title:Int. J. Robust Nonlinear Control

Author:

Yang Guang,Yang Qingsong,Kapila Vikram,Palmer Daniel,Vaidyanathan Ravi

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Aerospace Engineering,Biomedical Engineering,General Chemical Engineering,Control and Systems Engineering

Reference47 articles.

1. Control issues in automated highway systems

2. Radio Technical Commission for Aeronautics, Final Report of RTCA Task Force 3: Free Flight Implementation. Tech. Rep. RTCA, Washington, DC, 1995.

3. et al., A next generation architecture for air traffic management systems. Proceedings of the IEEE Conference on Decision and Control, San Diego, CA, 1997, 2405-2410.

4. Mobile robot tracking control in a perceptive frame. Proceedings of the SPIE, Boston, MA, 1998.

5. Scientific Advisory Board, UAV technologies and combat operations, Tech. Rep. SAB-TR-96-01, United States Air Force, November 1996.

Cited by 41 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. Energy- and time-optimal reconfiguration of spacecraft clusters with collision avoidance;Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering;2023-06-20

2. An iterative learning approach to formation control of discrete‐time multi‐agent systems With varying trial lengths;International Journal of Robust and Nonlinear Control;2022-09-18

3. Localization of Data Injection Attacks on Distributed M-Estimation;IEEE Transactions on Signal and Information Processing over Networks;2022

4. Iterative learning formation control for continuous-time multi-agent systems with randomly varying trial lengths;Journal of the Franklin Institute;2020-09

5. Topology optimised fixed‐time consensus for multi‐UAV system in a multipath fading channel;IET Communications;2020-07