Distributed Formation Control for Multiple Quadrotor UAVs Based on Distributed Estimator and Singular Perturbation System

Li, Ning; Wang, Hongbin; Luo, Qianda; Zheng, Wei

doi:10.1007/s12555-022-1157-6

Int. J. Control Autom. Syst.

2024

DOI: 10.1007/s12555-022-1157-6

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Distributed Formation Control for Multiple Quadrotor UAVs Based on Distributed Estimator and Singular Perturbation System

Ning Li,

Hongbin Wang,

Qianda Luo

et al.

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Advancement Challenges in UAV Swarm Formation Control: A Comprehensive Review

Bu,

Yan,

Yang

2024

Drones

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This paper provides an in-depth analysis of the current research landscape in the field of UAV (Unmanned Aerial Vehicle) swarm formation control. This review examines both conventional control methods, including leader–follower, virtual structure, behavior-based, consensus-based, and artificial potential field, and advanced AI-based (Artificial Intelligence) methods, such as artificial neural networks and deep reinforcement learning. It highlights the distinct advantages and limitations of each approach, showcasing how conventional methods offer reliability and simplicity, while AI-based strategies provide adaptability and sophisticated optimization capabilities. This review underscores the critical need for innovative solutions and interdisciplinary approaches combining conventional and AI methods to overcome existing challenges and fully exploit the potential of UAV swarms in various applications.

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Advancement Challenges in UAV Swarm Formation Control: A Comprehensive Review

Bu,

Yan,

Yang

2024

Drones

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Distributed Formation Control for Multiple Quadrotor UAVs Based on Distributed Estimator and Singular Perturbation System

Cited by 1 publication

References 25 publications

Advancement Challenges in UAV Swarm Formation Control: A Comprehensive Review

Advancement Challenges in UAV Swarm Formation Control: A Comprehensive Review

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