Adaptive output feedback control for a class of nonlinear systems with full-state constraints

被引：118

作者：

Liu, Yan-Jun ^{[1
]}

Li, Dong-Juan ^{[2
]}

Tong, Shaocheng ^{[1
]}

机构：

[1] Liaoning Univ Technol, Coll Sci, Jinzhou 121001, Liaoning, Peoples R China

[2] Liaoning Univ Technol, Sch Chem & Environm Engn, Jinzhou 121001, Liaoning, Peoples R China

来源：

INTERNATIONAL JOURNAL OF CONTROL | 2014年 / 87卷 / 02期

基金：

中国国家自然科学基金;

关键词：

adaptive control; output-feedback control; barrier Lyapunov function; nonlinear systems; DYNAMIC SURFACE CONTROL; TRACKING CONTROL; NORM ESTIMATION; OBSERVER; DESIGN;

D O I：

10.1080/00207179.2013.828854

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 studies an adaptive output-feedback control for a class of nonlinear single-input and single-output (SISO) systems with the full-state constraints. A state observer is designed to estimate those unmeasured states. At present, all the results in the output-feedback area ignore the effects of the full-state constraints. The presence of these constraints results in a complicated procedure and the major difficulties in the design. The barrier Lyapunov function (BLF) and a novel design procedure are given to overcome these difficulties. The adaptation law and the controllers are obtained based on the backstepping design procedure. In addition, only one adjustable parameter needs to be updated, and thus, the online computation burden is alleviated. The stability of the closed-loop system is proven by using the Lyapunov theorem. A simulation example is given to verify the effectiveness of the approach.

引用

页码：281 / 290

页数：10

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