Distributed data-driven UAV formation control via evolutionary games: experimental results

DOI10.1016/J.JFRANKLIN.2021.05.002zbMath1467.93218OpenAlexW3163095283MaRDI QIDQ2041384

Yanyan Li

Publication date: 19 July 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.05.002

zbMATH Keywords

multi-population evolutionary gamesUAV formation control

Mathematics Subject Classification ID

Applications of game theory (91A80) Automated systems (robots, etc.) in control theory (93C85) Evolutionary games (91A22) Experimental work for problems pertaining to systems and control theory (93-05)

Cites Work

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• Trajectory tracking control of thrust-vectoring UAVs
• Constrained evolutionary games by using a mixture of imitation dynamics
• Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints
• Distance‐based control of formations with hybrid communication topology
• The Role of Population Games and Evolutionary Dynamics in Distributed Control Systems: The Advantages of Evolutionary Game Theory

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