{"title":"最小二乘在频率加权模型约简技术中的应用","authors":"S. Sahlan, M. S. Maidin, N. Wahab","doi":"10.1109/ICMSAO.2011.5775493","DOIUrl":null,"url":null,"abstract":"In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.","PeriodicalId":6383,"journal":{"name":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Least square application on frequency weighted model reduction technique\",\"authors\":\"S. Sahlan, M. S. Maidin, N. Wahab\",\"doi\":\"10.1109/ICMSAO.2011.5775493\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.\",\"PeriodicalId\":6383,\"journal\":{\"name\":\"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMSAO.2011.5775493\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Modeling, Simulation and Applied Optimization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSAO.2011.5775493","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Least square application on frequency weighted model reduction technique
In this paper, we present new results on frequency weighted balanced truncation technique based on vec and Kronecker Product. This technique is applied to single-sided case and an extension to double-sided case is also presented. Numerical example with comparisons to other techniques is also presented.