Formulation and a MOGA Based Approach for Multi-UAV Cooperative Reconnaissance

2006 ◽  
pp. 99-106 ◽  
Author(s):  
Jing Tian ◽  
Lincheng Shen ◽  
Yanxing Zheng
Keyword(s):  
Multi Uav

Autonomous Hierarchical Multi-Level Clustering for Multi-UAV Systems

2021 ◽  
Author(s):  
Jonathan Ponniah ◽  
Mirco Theile ◽  
Or Dantsker ◽  
Marco Caccamo
Keyword(s):  
Multi Level ◽  
Multi Uav

CAUSE Multi-UAV Simulation Demonstration

2011 ◽  
Author(s):  
Herbert E. Viggh ◽  
Christopher Weed ◽  
Michael T. Chan ◽  
Daniel J. Van Hook
Keyword(s):  
Multi Uav

scholarly journals Efficient and Secured Swarm Pattern Multi-UAV Communication

2021 ◽  
pp. 1-1
Author(s):  
Gunasekaran Raja ◽  
Sudha Anbalagan ◽  
Aishwarya Ganapathi Subramaniyan ◽  
Madhumitha Sri Selvakumar ◽  
Ali Kashif Bashir ◽  
...  
Keyword(s):  
Swarm Pattern ◽  
Multi Uav

Distributed sliding mode control for time-varying formation tracking of multi-UAV system with a dynamic leader

2021 ◽  
Vol 111 ◽  
pp. 106549
Author(s):  
Jianhua Wang ◽  
Liang Han ◽  
Xiwang Dong ◽  
Qingdong Li ◽  
Zhang Ren
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Time Varying ◽  
Mode Control ◽  
Formation Tracking ◽  
Multi Uav

QoE-driven Adaptive Deployment Strategy of Multi-UAV Networks Based on Hybrid Deep Reinforcement Learning

2021 ◽  
pp. 1-1
Author(s):  
Yi Zhou ◽  
Xiaoyong Ma ◽  
Shuting Hu ◽  
Danyang Zhou ◽  
Nan Cheng ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Deployment Strategy ◽  
Multi Uav

scholarly journals Multi-UAV Area Coverage Based on Relative Localization: Algorithms and Optimal UAV Placement

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2400
Author(s):  
Ziyong Zhang ◽  
Xiaoling Xu ◽  
Jinqiang Cui ◽  
Wei Meng
Keyword(s):  
Quadratic Programming ◽  
Wide Band ◽  
Area Coverage ◽  
Localization Algorithm ◽  
Placement Problem ◽  
Position Information ◽  
Relative Localization ◽  
Coverage Control ◽  
Localization Algorithms ◽  
Multi Uav

This paper is concerned with relative localization-based optimal area coverage placement using multiple unmanned aerial vehicles (UAVs). It is assumed that only one of the UAVs has its global position information before performing the area coverage task and that ranging measurements can be obtained among the UAVs by using ultra-wide band (UWB) sensors. In this case, multi-UAV relative localization and cooperative coverage control have to be run simultaneously, which is a quite challenging task. In this paper, we propose a single-landmark-based relative localization algorithm, combined with a distributed coverage control law. At the same time, the optimal multi-UAV placement problem was formulated as a quadratic programming problem by compromising between optimal relative localization and optimal coverage control and was solved by using Sequential Quadratic Programming (SQP) algorithms. Simulation results show that our proposed method can guarantee that a team of UAVs can efficiently localize themselves in a cooperative manner and, at the same time, complete the area coverage task.

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