Flexible Formation Control of Multiple Unmanned Vehicles Based on Artificial Potential Field Method

Author:

Wu Wei,Qin Xuemei,Qin Jianhua,Yu Xiangyu,Liu Qiongxiao

Publisher

Springer Nature Singapore

Reference15 articles.

1. Zhang, J., Yan, J., Zhang, P.: Fixed-wing UAV formation control design with collision avoidance based on an improved artificial potential field. IEEE Access 6, 78342–78351 (2018)

2. Hang, Y., Cam, L., Roy, U.: Formation control for multiple unmanned aerial vehicles in constrained space using modified artificial potential field. Math. Model. Eng. Prob. 4(2), 100–105 (2017)

3. Zhai, H., Ji, Z., Gao, J.: Formation control of multiple robot fishes based on artificial potential field and leader-follower framework. In: Control and Decision Conference. IEEE (2013)

4. Lin, J., Pan, L.: Multiobjective trajectory optimization with a cutting and padding encoding strategy for single-UAV-assisted mobile edge computing system. Swarm Evol. Comput. 75, 101163 (2022)

5. Zha, M., Wang, Z., Feng, J., et al.: Unmanned vehicle route planning based on improved artificial potential field method. J. Phys: Conf. Ser. 1453(1), 012059 (2020)

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1. Performance Comparison for Aggregation and Formation of Swarm Robots;2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM);2023-06-28

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