{"title":"加权迭代切向插值算法","authors":"Umair Zulfiqar, V. Sreeram","doi":"10.1109/ANZCC.2018.8606550","DOIUrl":null,"url":null,"abstract":"The frequency-weighted model reduction problem is of great importance in control system design due to its applications in obtaining a lower order controller for significantly high order plant. In this paper, two algorithms for frequency-weighted model reduction using Krylov subspace based inter-polatory framework are presented. Numerical examples are presented to signify the efficacy of the proposed algorithms.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Weighted Iterative Tangential Interpolation Algorithms\",\"authors\":\"Umair Zulfiqar, V. Sreeram\",\"doi\":\"10.1109/ANZCC.2018.8606550\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The frequency-weighted model reduction problem is of great importance in control system design due to its applications in obtaining a lower order controller for significantly high order plant. In this paper, two algorithms for frequency-weighted model reduction using Krylov subspace based inter-polatory framework are presented. Numerical examples are presented to signify the efficacy of the proposed algorithms.\",\"PeriodicalId\":358801,\"journal\":{\"name\":\"2018 Australian & New Zealand Control Conference (ANZCC)\",\"volume\":\"42 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 Australian & New Zealand Control Conference (ANZCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ANZCC.2018.8606550\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Australian & New Zealand Control Conference (ANZCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ANZCC.2018.8606550","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The frequency-weighted model reduction problem is of great importance in control system design due to its applications in obtaining a lower order controller for significantly high order plant. In this paper, two algorithms for frequency-weighted model reduction using Krylov subspace based inter-polatory framework are presented. Numerical examples are presented to signify the efficacy of the proposed algorithms.