State and input estimation for a class of uncertain systems

被引：527

作者：

Corless, M ^{[1
]}

Tu, J

机构：

[1] Purdue Univ, Sch Aeronaut & Astronaut, W Lafayette, IN 47907 USA

[2] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA

来源：

AUTOMATICA | 1998年 / 34卷 / 06期

基金：

美国国家科学基金会;

关键词：

state estimation; disturbance estimation; observers; Lyapunov; linear matrix inequalities; uncertain systems;

D O I：

10.1016/S0005-1098(98)00013-2

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We consider here the problem of state and input estimation for a class of uncertain systems which consist of a nominally linear part and an uncertain/nonlinear/time-varying part which can be regarded as a state-dependent/time-varying input. We obtain a Lyapunov-type characterization of the assumptions commonly found in the literature on this problem. Using this characterization, we obtain estimators which, using only a measured output, can asymptotically estimate to any desired accuracy the system state and the input. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：757 / 764

页数：8

共 31 条

[1]

Basile G., 1969, Journal of Optimization Theory and Applications, V3, P410, DOI 10.1007/BF00929356

[2] OBSERVER DESIGN FOR LINEAR-SYSTEMS WITH UNKNOWN INPUTS [J].