@inproceedings{72d5e6626b674dfdbde5b4615f4d20a7,
title = "Adaptive Neural Network-Based Fixed-Time Sliding Mode Control for Uncertain UAVs",
abstract = "This paper investigates the fixed time trajectory tracking control problem for an uncertain quadrotor unmanned aerial vehicle (UAV) system, enabling rapid, high precision following of a desired trajectory despite uncertainties and disturbances. A piecewise fixed time sliding mode variable is formulated to eliminate singularities associated with terminal sliding modes. An adaptive neural network (ANN) is developed to estimate system uncertainties and external disturbances within a predetermined fixed time, and an ANN based rapid fixed time controller is designed to ensure high accuracy trajectory tracking under these estimated perturbations. Rigorous Lyapunov analysis confirms the fast fixed time stability of the overall closed loop system. Comparative simulation studies validate the effectiveness of the proposed method.",
keywords = "Adaptive neural network, UAVs, fixed-time control",
author = "Zhuang Liu and Junyao Zang and Jianing Tang and Ouyang Zhang and Yabin Gao and Jianxing Liu",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 China Automation Congress, CAC 2025 ; Conference date: 26-09-2025 Through 28-09-2025",
year = "2025",
doi = "10.1109/CAC67268.2025.11486978",
language = "英语",
series = "Proceedings - 2025 China Automation Congress, CAC 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5617--5622",
booktitle = "Proceedings - 2025 China Automation Congress, CAC 2025",
address = "美国",
}