Parameter identification of linear systems using Hopfield neural networks - 文章详情页

作者：

Song, Y. (Song, Y..) | Zhang, C. (Zhang, C..) (学者：张弛) | Ma, W. (Ma, W..)

收录：

Scopus PKU CSCD

摘要：

In　this　paper　a　novel　parameter　identification　method　for　linear　system　is　developed　based　on　the　optimization　computing　theory　of　Hopfield　Neural　Networks(HNN).　The　I/O　difference　equation　is　formulated　and　estimated　using　continuous　HNN　firstly.　Then　the　transfer　function　matrix　of　the　system　is　calculated.　And　finally　the　observable　canonical　form　of　the　state　space　expression　is　constructed.　Simulation　results　prove　the　validity　of　the　proposed　method.

关键词：

Hopfield neural networks(HNN); Linear system; Parameter identification

作者机构：

[ 1 ] [Song, Y.]School of Mechanical and Electrical Engineering, Beijing Polytechnic University, Beijing, 100022, China
[ 2 ] [Zhang, C.]School of Mechanical Engineering, Tianjin University, Tianjin, 300072, China
[ 3 ] [Ma, W.]Department of Automation, Tianjin Institute of Textile Engineering, Tianjin, 300160, China

通讯作者信息：

[Song, Y.]School of Mechanical and Electrical Engineering, Beijing Polytechnic University, Beijing, 100022, China

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至