{"title":"非极小系统降阶的平方根最优汉克尔范数逼近技术","authors":"Deepak Kumar, S. K. Nagar","doi":"10.1109/IEECON.2014.6925927","DOIUrl":null,"url":null,"abstract":"This paper intends to the development of order reduction technique for reduction of non-minimal systems which is a combination of square-root approach and schur decomposition algorithm. The proposed technique alleviates the practical difficulties in computations of balancing transform for non-minimal systems. A numerical example is considered to validate the proposed algorithm and the comparison with other well known techniques shows the effectiveness of the proposed algorithm.","PeriodicalId":306512,"journal":{"name":"2014 International Electrical Engineering Congress (iEECON)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Square-root optimal hankel norm approximation technique for order reduction of non-minimal systems\",\"authors\":\"Deepak Kumar, S. K. Nagar\",\"doi\":\"10.1109/IEECON.2014.6925927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper intends to the development of order reduction technique for reduction of non-minimal systems which is a combination of square-root approach and schur decomposition algorithm. The proposed technique alleviates the practical difficulties in computations of balancing transform for non-minimal systems. A numerical example is considered to validate the proposed algorithm and the comparison with other well known techniques shows the effectiveness of the proposed algorithm.\",\"PeriodicalId\":306512,\"journal\":{\"name\":\"2014 International Electrical Engineering Congress (iEECON)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Electrical Engineering Congress (iEECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEECON.2014.6925927\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2014.6925927","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Square-root optimal hankel norm approximation technique for order reduction of non-minimal systems
This paper intends to the development of order reduction technique for reduction of non-minimal systems which is a combination of square-root approach and schur decomposition algorithm. The proposed technique alleviates the practical difficulties in computations of balancing transform for non-minimal systems. A numerical example is considered to validate the proposed algorithm and the comparison with other well known techniques shows the effectiveness of the proposed algorithm.