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The Method and Application of Discrimination and Search for Multi-point Grounding of N600 in Secondary Circuit of Voltage Transformer in Substation Read chapter Read first chapter

2024 | OriginalPaper | Chapter

An Efficient Multi-agent Deep Deterministic Policy Gradient-Based 3D Dynamic Coverage Algorithm

Authors : Wei Zhang, Lei Lei, Lijuan Zhang

Published in: Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology

Publisher: Springer Nature Singapore

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Abstract

This work studies the problem of dynamic coverage control of multiple Unmanned Aerial Vehicles (UAVs) in the 3 dimensional (3D) environment. In this work, an efficient multi-agent deep deterministic policy gradient-based dynamic surface coverage (MADDPG-DSC) algorithm is proposed. In MADDPG-DSC, a digital elevation-based surface area calculation method is introduced to effectively allocate the points of interest (PoIs). Next, a cooperative trajectory control policy with multi-agent deep deterministic policy gradient is developed to guide the UAVs. Comparing with existing works, MADDPG-DSC shows better performance in terms of larger coverage rate, higher connectivity and lower energy consumption.

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Metadata
Title
An Efficient Multi-agent Deep Deterministic Policy Gradient-Based 3D Dynamic Coverage Algorithm
Authors
Wei Zhang
Lei Lei
Lijuan Zhang
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Proceedings of the 2nd International Conference on Internet of Things, Communication and Intelligent Technology

Print ISBN: 978-981-9727-56-8

Electronic ISBN: 978-981-9727-57-5

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-2757-5_9

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