@inproceedings{2f45596345d04f7591be4a0239b7fcaf,
title = "Dynamic Event-Triggered Robust Cooperative Path Following Control of Fixed-Wing UAVs",
abstract = "This paper investigates the problem of cooperative path following and obstacle avoidance of multiple UAV systems in three-dimensional space. Aiming at the limitations faced by existing studies in practical applications, such as actuator faults and wind disturbances, this paper proposes a new robust control strategy. The unmodeled uncertainties are more accurately estimated and compensated by introducing a predefined-time disturbance observer and a Gaussian radial basis neural network. A control barrier function-based algorithm is constructed to realize obstacle avoidance with bounded disturbance estimation error. In addition, a communication method based on a dynamic event-triggered mechanism is proposed to reduce the communication burden while maintain the system{\textquoteright}s cooperative performance.",
keywords = "control barrier function, cooperative path following, disturbance observer, event-triggered control, fixed-wing UAV, obstacle avoidance",
author = "Ziyi Yang and Zhengyu Guo and Yang Xu and Delin Luo",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.; International Conference on Guidance, Navigation and Control, ICGNC 2024 ; Conference date: 09-08-2024 Through 11-08-2024",
year = "2025",
doi = "10.1007/978-981-96-2224-5_32",
language = "英语",
isbn = "9789819622238",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "342--351",
editor = "Liang Yan and Haibin Duan and Yimin Deng",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 7",
}