@inproceedings{cae865a1287e469cb949f254eeebb935,
title = "Event-Triggered Adaptive Control for a Class of Nonlinear Pure-Feedback Systems",
abstract = "In this paper, an event-triggered control scheme is raised for a class of nonlinear pure-feedback systems. A switching threshold strategy of event-triggering is employed such that the communication burden between controllers and actuators can be effectively decreased. The neural networks are introduced to approximate the unknown nonlinear continuous functions appearing in the deign process. According to the stability analysis, it can be seen that the closed-loop system is semi-globally uniformly bounded. In addition, the errors between the actual signals and the command signals could converge to some compact sets.",
keywords = "adaptive control, backstepping, event-triggered control, neural networks, pure-feedback systems",
author = "Ziming Li and Chenliang Wang and Xudong Han and Chen Yang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 Chinese Automation Congress, CAC 2019 ; Conference date: 22-11-2019 Through 24-11-2019",
year = "2019",
month = nov,
doi = "10.1109/CAC48633.2019.8996437",
language = "English",
series = "Proceedings - 2019 Chinese Automation Congress, CAC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2244--2249",
booktitle = "Proceedings - 2019 Chinese Automation Congress, CAC 2019",
address = "United States",
}