Flexible Terminal Constraints Based Optimal Strategy for Multiple UAVs Formation Transformation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3324-8_27
Reference9 articles.
1. Liu Z, Wang M, Qi J, Wu C, Ma Z (2022) Time-varying formation tracking control for multi-UAV systems with communication delays and switching topologies. In: 2022 41st Chinese Control Conference (CCC), Hefei, China, pp 4802–4807. https://doi.org/10.23919/CCC55666.2022.9902798
2. Sui Z, Pu Z, Yi J (2017) Optimal UAVs formation transformation strategy based on task assignment and Particle Swarm Optimization. In: 2017 IEEE International Conference on Mechatronics and Automation (ICMA), Takamatsu, Japan, pp 1804–1809. https://doi.org/10.1109/ICMA.2017.8016091
3. Lou Q, Zhou Y, Li X (2022) Multi-UAV optimal formation control via actor-critic reinforcement learning algorithm. In: 2022 4th International Conference on Industrial Artificial Intelligence (IAI), Shenyang, China, pp 1–6. https://doi.org/10.1109/IAI55780.2022.9976741.
4. Shu P, Hua Y, Dong X, Ren Z (2021) Distributed time-varying formation optimal tracking for multi-agent systems with optimal formation reference. In: 2021 IEEE International Conference on Unmanned Systems (ICUS), Beijing, China, pp 548–553. https://doi.org/10.1109/ICUS52573.2021.9641357
5. Mellinger D, Kumar V (2011) Minimum snap trajectory generation and control for quadrotors. In: 2011 IEEE International Conference on Robotics and Automation, Shanghai, China, pp 2520–2525. https://doi.org/10.1109/ICRA.2011.5980409
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