Global adaptive output feedback tracking for a class of nonlinear systems with quantized input

被引：5
|
作者：
Yu, Xiaowei [1 ]
Lin, Yan [2 ]
Zhang, Xu [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Sch Automat, Beijing 100191, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 226590, Peoples R China
来源：
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2020年 / 357卷 / 10期
基金：
中国国家自然科学基金;
关键词：
SECTOR BOUND APPROACH; LINEAR-SYSTEMS; STABILIZATION; CONSENSUS;
D O I：
10.1016/j.jfranklin.2020.03.048
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, we consider the quantized control of a class of nonlinear systems whose nonlinear functions satisfy more general growth conditions. Based on a reduced-order observer and a dynamic gain, an adaptive output feedback tracking controller is designed. It is proved that by suitably choosing design parameters and functions, the tracking error can converge to an arbitrarily small residual set while all the other signals of the closed-loop system are bounded. © 2020 The Franklin Institute
引用
收藏
页码：6083 / 6095
页数：13
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