@inproceedings{c8e30c731af34bc488657052eb0484c1,
title = "Data-Driven Intermittent Event-Triggered Control of a Class of Unknown Nonlinear System",
abstract = "This paper addresses the stabilization problem for a class of unknown nonlinear systems by means of intermittent event-triggered control and data-driven approach. Firstly, an intermittent event-triggered control is designed by a Lyapunov function to make the known nonlinear system asymptotically stable. Based on this result, a class of unknown nonlinear systems is considered and an intermittent event-triggered control strategy is designed via a data-driven approach. This approach is achieved by utilizing partial data from the state trajectories. It should be noted that, via this method, the Lyapunov function designed for an unknown system is very approximate to a known system. This makes the designed event-triggered intermittent control work well for unknown systems as well. Consequently, the control is intermittent and the unknown nonlinear system is stable. Finally, the feasibility and effectiveness of the proposed method are demonstrated by several examples.",
keywords = "Data-driven, Intermittent event-triggered control, Unknown systems",
author = "Hanxu Xie and Fei Hao",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 18th Chinese Intelligent Systems Conference, CISC 2022 ; Conference date: 15-10-2022 Through 16-10-2022",
year = "2022",
doi = "10.1007/978-981-19-6226-4\_69",
language = "英语",
isbn = "9789811962257",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "722--730",
editor = "Yingmin Jia and Weicun Zhang and Yongling Fu and Shoujun Zhao",
booktitle = "Proceedings of 2022 Chinese Intelligent Systems Conference - Volume II",
address = "德国",
}