Examination of the impact of the number of approximation nodes on the quality of transfer function models describing the diffusion of the electromagnetic field
{"title":"Examination of the impact of the number of approximation nodes on the quality of transfer function models describing the diffusion of the electromagnetic field","authors":"K. Dudziak, K. Stawicki, A. Brykalski","doi":"10.1109/IIPHDW.2018.8388345","DOIUrl":null,"url":null,"abstract":"How the increase in number of approximation nodes improves the identification of the parameters of transfer function in transfer function models of electromagnetic field diffusion. Based on the frequency response determined for magnetic induction the authors calculated the normalized moments followed by the parameters of chosen transfer function models. To calculate the moments, the authors increased the number of pulsations, which in succession lead to increase of the computation difficulty and required time, but also improved the alignment of model dynamics to real-time object dynamics. The authors show on an example that to some extent increasing the pulsation number improves the transfer function models.","PeriodicalId":405270,"journal":{"name":"2018 International Interdisciplinary PhD Workshop (IIPhDW)","volume":"170 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Interdisciplinary PhD Workshop (IIPhDW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIPHDW.2018.8388345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
How the increase in number of approximation nodes improves the identification of the parameters of transfer function in transfer function models of electromagnetic field diffusion. Based on the frequency response determined for magnetic induction the authors calculated the normalized moments followed by the parameters of chosen transfer function models. To calculate the moments, the authors increased the number of pulsations, which in succession lead to increase of the computation difficulty and required time, but also improved the alignment of model dynamics to real-time object dynamics. The authors show on an example that to some extent increasing the pulsation number improves the transfer function models.