Multivariable adaptive output-feedback control

被引：0

作者：

Kazemi, MH ^{[1
]}

Menhaj, MB ^{[1
]}

Karrari, M ^{[1
]}

机构：

[1] Amir Kabir Univ, Dept Elect Engn, Tehran 15914, Iran

来源：

PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6 | 2002年 / 1-6卷

关键词：

robust adaptive control; adaptive observers; model reference adaptive control; multivariable control systems;

D O I：

暂无

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, a new model reference adaptive output feedback controller is proposed for general multi-input multi-output (MIMO) systems with unknown parameters such that the tracking errors as well as the control gains remain uniformly bounded. First an adaptive observer is designed to estimate the state variables and system parameters from input-output data. Then a linear combination of the estimated states and the model reference states are used to design a robust adaptive output feedback controller. Several theorems are given to show the convergence of the modeling errors and the gains. Examples are also given to illustrate the effectiveness of the proposed method.

引用

页码：3413 / 3418

页数：6

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