Robust Control Design of Uncertain Strict Feedback Systems Using Adaptive Filters

被引：0
|
作者：
Liu, Yong-Hua [1 ]
Su, Chun-Yi [1 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangdong Key Lab IoT Informat Technol, Guangzhou 510640, Guangdong, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2018 | 2018年 / 10878卷
基金：
中国国家自然科学基金;
关键词：
Strict feedback; Nonlinear systems; Dynamic surface control; Robust control; Adaptive filter; DYNAMIC SURFACE CONTROL; ASYMPTOTIC TRACKING CONTROL; NONLINEAR-SYSTEMS;
D O I：
10.1007/978-3-319-92537-0_87
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper concerns on the tracking problem of uncertain strict feedback systems. By employing the adaptive filters, a robust state feedback control scheme is derived, where a common compensator is utilized to eliminate the effects induced by each filters. Compared with the existing results using standard dynamic surface control approach, the closed loop stability does not depend on small filter time constants. Finally, the correctness of the developed methodology is demonstrated via a numerical example.
引用
收藏
页码：768 / 774
页数：7
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