Observer-based adaptive stabilization of a class of uncertain nonlinear systems

被引：10

作者：

Arefi, Mohammad M. ^{[1
]}

Zarei, Jafar ^{[2
]}

Karimi, Hamid R. ^{[3
]}

机构：

[1] Shiraz Univ, Dept Power & Control Engn, Sch Elect & Comp Engn, Shiraz 7134851154, Iran

[2] Shiraz Univ Technol, Dept Control Engn, Sch Elect & Elect Engn, Shiraz 7155713876, Iran

[3] Univ Agder, Fac Engn & Sci, Dept Engn, N-4898 Grimstad, Norway

来源：

SYSTEMS SCIENCE & CONTROL ENGINEERING | 2014年 / 2卷 / 01期

关键词：

output feedback; adaptive control; uniformly ultimately boundedness; Lyapunov-based design;

D O I：

10.1080/21642583.2014.913510

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, an adaptive output feedback stabilization method for a class of uncertain nonlinear systems is presented. Since this approach does not require any information about the bound of uncertainties, this information is not needed a priori and a mechanism for its estimation is exploited. The adaptation law is obtained using the Lyapunov direct method. Since all the states are not measurable, an observer is designed to estimate unmeasurable states for stabilization. Therefore, in the design procedure, first an observer is designed and then the control signal is constructed based on the estimated states and adaptation law with the sigma-modification algorithm. The uniformly ultimately boundedness of all signals in the closed-loop system is analytically shown using the Lyapunov method. The effectiveness of the proposed scheme is shown by applying to a unified chaotic system.

引用

页码：362 / 367

页数：6

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