Formation Control Optimization via Virtual Leader Exploration with Deep Reinforcement Learning for Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

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Formation Control Optimization via Virtual Leader Exploration with Deep Reinforcement Learning for Unmanned Aerial Vehicles

Published:2023-12-17 Issue: Volume:30 Page:807-812
ISSN:
Container-title:2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)
language:
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Author:

Zhao Kangwei¹,Zhai Xiangping Bryce¹,Zhu Jing²,Tan Chee Wei³

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,College of Computer Science and Technology,Nanjing,China

2. Nanjing University of Aeronautics and Astronautics,College of Automation,Nanjing,China

3. Nanyang Technological University,Collage of Computer Science and Engineering,Singapore

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10475889/10475881/10475931.pdf?arnumber=10475931

Reference11 articles.

1. An immune plasma algorithm with a modified treatment schema for UCAV path planning

2. Multi-UAV reconnaissance task allocation for heterogeneous targets using grouping ant colony optimization algorithm

3. Generalized Type-2 Fuzzy Parameter Adaptation in the Marine Predator Algorithm for Fuzzy Controller Parameterization in Mobile Robots

4. Digital-Twin-Assisted Task Assignment in Multi-UAV Systems: A Deep Reinforcement Learning Approach

5. Joint Optimization of Trajectory and User Association via Reinforcement Learning for UAV-aided Data Collection in Wireless Networks

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