Moving Horizon Estimators for Large-Scale Systems

被引：0

作者：

Garcia, J. ^{[1
]}

Espinosa, J. ^{[1
]}

机构：

[1] Univ Nacl Colombia, Res Grp Automat GAUNAL, Fac Minas, Medellin, Colombia

来源：

CONTROL ENGINEERING AND APPLIED INFORMATICS | 2009年 / 11卷 / 03期

关键词：

Moving horizon estimator; distributed estimation; large-scale systems; nonlinear programming; constraint addressing; DISTRIBUTED STATE ESTIMATION; DISCRETE-TIME-SYSTEMS; OBSERVERS; STABILITY; DESIGN;

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 report, a review on state estimation schemes applied to large-scale systems is made. The attention is focused on Moving Horizon Estimation (MHE) schemes due to the addressing of the estimation problem in an optimal way, and it inherent capability to handle the process constraints. Moreover, the cost function can be proposed unlike other optimal estimation schemes like those based on Kalman Filters. Therefore, contributions on state estimation schemes applied to large-scale systems are described, in order to outline its merits and limitations. Finally, open problems are listed with the aim to prepare a basis for future contributions.

引用

页码：49 / 56

页数：8

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