Using PSO Method for System Identification

被引：5

作者：

Dub, M. ^{[1
]}

Stefek, A. ^{[1
]}

机构：

[1] Univ Def, Fac Mil Technol, Brno 66210, Czech Republic

来源：

MECHATRONICS 2013: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES | 2014年

关键词：

D O I：

10.1007/978-3-319-02294-9_19

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The article deals with application of heuristic method in system identification process. Real measured data can be used for system identification. Usually real data has noisy component. For this reason sometimes the filtering is applied to original data and the result is used for identification. In this article the comparison of usage the original and prefiltered data is discussed. For identification the Particle swarm optimization method is used. Different approaches are also used to create initial agents' positions. Whole concept is tested using the MATLAB program.

引用

页码：143 / 150

页数：8