Adaptive Robust Time-Varying Formation Control of Quadrotors under Switching Topologies: Theory and Experiment
Author:
Affiliation:
1. School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China
2. Institute of Unmanned System, Beihang University, Beijing 100191, China
Abstract
Funder
Fundamental Research Funds for the Central Universities
Publisher
MDPI AG
Subject
Aerospace Engineering
Link
https://www.mdpi.com/2226-4310/10/8/735/pdf
Reference65 articles.
1. Raja, G., Baskar, Y., Dhanasekaran, P., Nawaz, R., and Yu, K. (2021, January 7–11). An Efficient Formation Control mechanism for Multi-UAV Navigation in Remote Surveillance. Proceedings of the 2021 IEEE Globecom Workshops (GC Wkshps), Madrid, Spain.
2. An Improved Artificial Potential Field Method for Path Planning and Formation Control of the Multi-UAV Systems;Pan;IEEE Trans. Circuits Syst. II Express Briefs,2022
3. Bio-inspired adaptive formation tracking control for swarm systems with application to UAV swarm systems;Xie;Neurocomputing,2021
4. A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms;Idrissi;J. Intell. Robot. Syst.,2022
5. Zhao, Z., Zheng, Z., Zhu, M., and Wu, Z. (2017, January 3–6). Adaptive fault tolerant attitude tracking control for a quadrotor with input saturation and full-state constraints. Proceedings of the 2017 13th IEEE International Conference on Control & Automation (ICCA), Ohrid, Macedonia.
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