Zhenqiang Li, 李 振強, S. Kanae, 金江 春植, Zi‐Jiang Yang, 楊 子江, K. Wada, 和田 清, シュンショク カナエ, ワダ キヨシ
{"title":"Identification of Hammerstein Systems with a Recursive Algorithm","authors":"Zhenqiang Li, 李 振強, S. Kanae, 金江 春植, Zi‐Jiang Yang, 楊 子江, K. Wada, 和田 清, シュンショク カナエ, ワダ キヨシ","doi":"10.15017/1517946","DOIUrl":null,"url":null,"abstract":"This paper deals with the problem of estimating the parameters of Hammerstein systems based on recursive least squares method. Hammerstein systems can be considered as one kind of nonlinear systems, it is applied in many fields. Several identification methods of Hammerstein systems have been developed. We utilize the recursive algorithm to identify the system and the obtained simulation results show the effectiveness of this approach.","PeriodicalId":39314,"journal":{"name":"Research Reports on Information Science and Electrical Engineering of Kyushu University","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research Reports on Information Science and Electrical Engineering of Kyushu University","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15017/1517946","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
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Abstract
This paper deals with the problem of estimating the parameters of Hammerstein systems based on recursive least squares method. Hammerstein systems can be considered as one kind of nonlinear systems, it is applied in many fields. Several identification methods of Hammerstein systems have been developed. We utilize the recursive algorithm to identify the system and the obtained simulation results show the effectiveness of this approach.
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Research Reports on Information Science and Electrical Engineering of Kyushu University provides quick publication in English or in Japanese on the most recent findings and achievements in the Faculty of Information Science and Electrical Engineering, Kyushu University.
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