Event-Triggered Adaptive Control for a Class of Nonlinear Pure-Feedback Systems

被引：0
|
作者：
Li, Ziming [1 ]
Wang, Chenliang [2 ]
Han, Xudong [1 ]
Yang, Chen [1 ]
机构：
[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
[2] Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
来源：
2019 CHINESE AUTOMATION CONGRESS (CAC2019) | 2019年
基金：
北京市自然科学基金; 中国国家自然科学基金;
关键词：
pure-feedback systems; event-triggered control; adaptive control; backstepping; neural networks;
D O I：
10.1109/cac48633.2019.8996437
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2244 / 2249
页数：6
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