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Brief Paper - Distributed cooperative control for deployment and task allocation of unmanned aerial vehicle networks

机译:简介-用于无人机网络部署和任务分配的分布式协作控制

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摘要

In this study, the authors consider the deployment of unmanned aerial vehicle networks for task accomplishment within a closed region. Each agent with limited sensing range and communication range needs to take charge of the task accomplishment within a part of the whole region. The main objective is to optimise the deployment of the agents such that the maximum travelling time the agents take to reach a place within the surveillance region is minimised. The deployment issue is formulated as the worst-case disc-covering problem and a distributed cooperative control strategy is designed for agents with limited mobility. It is proven that by the proposed control strategy the network configuration converges to a local optimum configuration. Moreover, a combined optimisation approach is developed to improve the performance by optimising the initial configuration. To guarantee the proper working of the designed control strategy and K-connectivity of the network, a distributed topology control scheme is proposed. Finally, the effectiveness of the proposed control strategy is testified by simulation.
机译:在这项研究中,作者考虑了在封闭区域内部署无人机以完成任务。每个感知范围和通信范围有限的代理都需要负责整个区域的一部分中的任务完成。主要目的是优化代理的部署,以使代理到达监视区域内某个地方所花费的最大旅行时间最小化。部署问题被表述为最坏情况下的磁盘覆盖问题,而分布式协作控制策略则针对移动性受限的代理而设计。事实证明,通过提出的控制策略,网络配置收敛到局部最优配置。此外,开发了一种组合的优化方法以通过优化初始配置来提高性能。为了保证所设计的控制策略和网络的K连通性正常工作,提出了一种分布式拓扑控制方案。最后,通过仿真验证了所提出控制策略的有效性。

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