@inproceedings{d4ae019c7ea748d498e78fc3bfbe2075,
title = "Adaptive Fault-Tolerant Cooperative Control for Fixed-Wing Multi-UAVs with Full State Constraints and Disturbance",
abstract = "This paper addresses the challenging problem of cooperative fault-tolerant formation tracking for multi-UAV systems subject to actuator faults, critical state constraints, and lumped uncertainties. Utilizing a backstepping framework, the strategy employs Radial Basis Function neural networks(RBFNNs) for online approximation of uncertainties and uses Universal Barrier Lyapunov Functions(UBLF) to enforce full-state constraints, ensuring operation within physical limits. Theoretical analysis shows that the closed-loop signals are Semi-Globally Uniformly Ultimately Bounded(SGUUB). Simulation results validate that the proposed controller achieves high-precision formation tracking while respecting all critical safety constraints, even in the presence of severe actuator faults.",
keywords = "Actuator fault, External disturbance, Fault-tolerant cooperative control, Multi-UAV, Universal barrier Lyapunov function",
author = "Haonan Zhu and Shuai Zheng and Xinwei Chen and Liang Han and Zhang Ren",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.; 9th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2025 ; Conference date: 31-10-2025 Through 03-11-2025",
year = "2026",
doi = "10.1007/978-981-95-8329-4\_35",
language = "英语",
isbn = "9789819583287",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "437--448",
editor = "Yongzhao Hua and Yishi Liu and Rui Yan",
booktitle = "Proceedings of 2025 9th Chinese Conference on Swarm Intelligence and Cooperative Control - Swarm Optimization Technologies",
address = "德国",
}