Methodology for the Implementation of Kalman Filters on Real Applications

被引：0

作者：

David Nunez, Juan ^{[1
]}

Ayde Vallejo, Monica ^{[1
]}

Botero, Hector ^{[1
]}

机构：

[1] Univ Nacl Colombia, Fac Minas, Grp Invest Proc Dinam Kalman, Medellin, Colombia

来源：

APPLIED COMPUTER SCIENCES IN ENGINEERING, WEA 2021 | 2021年 / 1431卷

关键词：

State estimation; Kalman filter; Computational complexity; Industrial computer; Virtual sensor;

D O I：

10.1007/978-3-030-86702-7_35

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Some industrial variables cannot be measured directly due to environmental factors or high costs, then this variables need to be estimated by using Kalman Filters (KF). In order to solve this problem, this paper proposes a methodology that allows the complete design and implementation of KF estimators. A practical application shows that the implementation of the linear KF only consumes the 3.33% of the capacity of an AMD A8-5550M processor.

引用

页码：411 / 421

页数：11

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