@inproceedings{46c38232a45d434fb1739f3a9b35caf8,
title = "State-based Event-triggered Trajectory Tracking Control for the Stratospheric Airship",
abstract = "This paper studies the trajectory tracking problem of the stratospheric airship based on event-triggering mechanism. An event-triggered stratospheric airship trajectory tracking control algorithm is designed based on the adaptive back-stepping control framework, state observer and auxiliary system. The state observer is used to estimate the system state within the trigger interval and the auxiliary system is used to handle the actuator saturation problem. Stability analysis shows that the tracking error of the system and the observation error of the observer are bounded, and there is no Zeno phenomenon in the flight process. The simulation results show that the control algorithm proposed in this paper can significantly reduce the working time of the sensors while ensuring that the airship can track the desired trajectory.",
keywords = "Adaptive state observer, Events-triggered, Stratospheric airships, Trajectory tracking",
author = "Xinting Luo and Haoquan Liang and Tian Chen",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 2021 China Automation Congress, CAC 2021 ; Conference date: 22-10-2021 Through 24-10-2021",
year = "2021",
doi = "10.1109/CAC53003.2021.9728143",
language = "英语",
series = "Proceeding - 2021 China Automation Congress, CAC 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "972--979",
booktitle = "Proceeding - 2021 China Automation Congress, CAC 2021",
address = "美国",
}