Optimal state estimator in discrete time

被引：0
|
作者：
Mesa, Fernando [1 ]
Ospina-Ospina, Rogelio [2 ]
Correa-Velez, German [1 ]
机构：
[1] Univ Tecnol Pereira, Matemat Aplicadas & Educac, GIMAE, Dept Matemat, Pereira, Colombia
[2] Univ Ind Santander, Ciencia Mat Biol & Semiconductores, Dept Fis, Santander, Colombia
来源：
UIS INGENIERIAS | 2022年 / 21卷 / 02期
关键词：
quadratic control; objective function; optimization;
D O I：
10.18273/revuin.v21n2-2022002
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A study of state estimation was performed on models with noise in control systems considering the observer design and the state feedback. For this purpose, noise on the state space model of the system was considered, and the best possible observer was designed: that is to say, the one that better rejects the noise effect. These observers are usually called estimators. In this work an estimator known as the Kalman filter was developed.
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页码：15 / 20
页数：6
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