Output Feedback Stabilization of a Class of Uncertain Nonaffine Nonlinear Systems

被引：2
|
作者：
Chen, Zhen-Feng [1 ]
Zhang, Yun [2 ]
机构：
[1] Guangdong Polytech Normal Univ, Sch Automat, Guangzhou 510665, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Guangdong, Peoples R China
来源：
ASIAN JOURNAL OF CONTROL | 2015年 / 17卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Nonaffine nonlinear systems; output feedback control; uncertainty; ADAPTIVE NEURAL-CONTROL; CONTROLLER;
D O I：
10.1002/asjc.1062
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, output feedback control is presented for a general class of uncertain nonaffine nonlinear systems, that does not rely on state estimation. Under the condition that only the system output is available for feedback, a dynamic linear filter is built to estimate unknown nonlinearities, and an output feedback controller is developed to stabilize the systems by utilizing the estimation to compensate for the unknown nonlinearities. One important feature of the proposed control is that the controller is developed under mild conditions with simple control algorithms, which is of great significance in engineering practice. Simulation results show the effectiveness of the control approach.
引用
收藏
页码：1984 / 1991
页数：8
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