A Tracking Control Method based on Event-Triggered Adaptive Dynamic Programming

被引：0
|
作者：
Wang, Ziyang [1 ]
Wei, Qinglai [2 ]
Liu, Derong [3 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[3] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
来源：
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
基金：
中国国家自然科学基金;
关键词：
Adaptive dynamic programming; event-triggered control; optimal tracking control; SYSTEMS; ADP;
D O I：
10.23919/chicc.2019.8866049
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 adaptive dynamic programming (ADP) algorithm is developed to solve optimal tracking control problems. The event-triggered control law will be updated only when the triggering conditions are satisfied. Therefore, the computational cost can be reduced and the celerity of tracking can be improved. Compared to existing works, novel triggering conditions are designed in this paper. Besides, the stability is guaranteed with less assumption. Neural networks are used to implement the tracking control algorithm. Finally, an example is employed to show the effectiveness of the algorithm.
引用
收藏
页码：2454 / 2459
页数：6
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