Global output feedback stabilization for a class of nonlinear systems with multiple uncertainties

被引:5
作者
Sun, Zong-Yao [1 ]
Zhang, Kai [1 ]
Chen, Chih-Chiang [2 ]
Zhao, Qian [3 ]
机构
[1] Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China
[2] Natl Cheng Kung Univ, Dept Syst Naval Mechatron Engn, Tainan, Taiwan
[3] Qufu Normal Univ, Coll Engn, Rizhao 276826, Shandong, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2021年 / 358卷 / 05期
基金
中国国家自然科学基金;
关键词
Nonlinear systems;
D O I
10.1016/j.jfranklin.2021.01.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper investigates the problem of global output feedback stabilization for a class of nonlinear systems with multiple uncertainties. A remarkable feature lies in that the system to be considered is not only involved dynamic and parametric uncertainties but also the measurement output affected by an uncertain continuous function, which leads to the obstacles in the constructions of a state observer and a controller. By revamping the double-domination approach with the skillful implantation of a dynamic gain scheme and nonnegative integral functions, a new design strategy is established by which a global output feedback stabilizer together with a novel state observer can be constructed successfully. The novelty of the presented design is attributed to a perspective in dealing with the output feedback stabilization undergone the unknown continuous (time-varying) output function and dynamic/parametric uncertainties. Finally, an illustrative example is provided to illustrate the effectiveness of the theoretical results. (c) 2021 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:2623 / 2641
页数:19
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