@inproceedings{0ef32996aae349c9a9380c34f7c61e15,
title = "Quantization Tracking Control Based on Disturbance Observer for the Unmanned Aerial Vehicles",
abstract = "In this paper, we propose a quantized tracking control scheme for the Unmanned Aerial Vehicles with the external disturbances. A disturbance observer is proposed to handle the disturbances and a commanded filter backstepping technique is adopted to reduce the computational complexity. The error compensation signals are used to reduce the influence of filtering errors. The hysteresis uniform switching bounded quantization mechanism is introduced in the control channel to reduce the data transmission burden and resource usage as well. Finally, the effectiveness of the proposed method is verified by stability proof and numerical simulation.",
keywords = "Command-filtered, Disturbance Observer, Input Quantization, Quadrotors",
author = "Xingru Chen and Xiuyu He and Jingyuan Wang and Guang Li and Wei He",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023 ; Conference date: 20-10-2023 Through 22-10-2023",
year = "2023",
doi = "10.1109/CSIS-IAC60628.2023.10363925",
language = "English",
series = "2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023",
publisher = "IEEE",
pages = "451--457",
booktitle = "2023 International Annual Conference on Complex Systems and Intelligent Science, CSIS-IAC 2023",
address = "United States",
}