Virtual error-based distributed cooperative control for multiple UAVs under time-varying switching topologies

Author:

ZHANG ZhaoYu,DUAN HaiBin

Publisher

Science China Press., Co. Ltd.

Reference17 articles.

1. Duan H B, He H X, Zhao Y J, et al. Review of technological hotspots of unmanned aerial vehicle in 2022 (in Chinese). Sci Tech Rev, 2023, 41: 215‒229 [段海滨, 何杭轩, 赵彦杰, 等. 2022年无人机热点回眸. 科技导报, 2023, 41: 215‒229].

2. Duan H B, Qiu H X. Unmanned Aerial Vehicle Swarm Autonomous Control Based on Swarm Intelligence (in Chinese). Beijing: Science Press, 2018 [段海滨, 邱华鑫. 基于群体智能的无人机集群自主控制. 北京: 科学出版社, 2018].

3. Smalley D. LOCUST: Autonomous swarming UAVs fly into the future. Office of Naval Research, 2015.

4. Lv M, Zhou C. Adaptive performance-constrained synchronization control for hypersonic flight vehicle swarms: A novel finite-time convergence protocol methodology. Guid Navigat Control, 2023, 03:

5. Li T, Liu C, Yu Z. A synthesized design of adaptive and sliding-mode observer-based incipient fault detection for a quadrotor. Guid Navigat Control, 2021, 01:

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