{"title":"基于交叉riccati方程的SISO系统的有效正实平衡截断","authors":"C. Chu, N. Wong","doi":"10.1109/ISPACS.2006.364914","DOIUrl":null,"url":null,"abstract":"This paper presents a highly efficient approach for performing positive real balanced truncation (PRBT) of single-input single-output (SISO) systems. The solution of two dual algebraic Riccati equations (AREs), whose high computational cost baffles conventional PRBT, is replaced with the solution of a cross-Riccati equation (CRE). The cross-Riccatian nature of the solution then allows simple construction of the projection matrices in PRBT. Application examples confirm the effectiveness of the proposed PRBT method over conventional schemes","PeriodicalId":178644,"journal":{"name":"2006 International Symposium on Intelligent Signal Processing and Communications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficient Positive Real Balanced Truncation of SISO Systems Via Cross-Riccati Equations\",\"authors\":\"C. Chu, N. Wong\",\"doi\":\"10.1109/ISPACS.2006.364914\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a highly efficient approach for performing positive real balanced truncation (PRBT) of single-input single-output (SISO) systems. The solution of two dual algebraic Riccati equations (AREs), whose high computational cost baffles conventional PRBT, is replaced with the solution of a cross-Riccati equation (CRE). The cross-Riccatian nature of the solution then allows simple construction of the projection matrices in PRBT. Application examples confirm the effectiveness of the proposed PRBT method over conventional schemes\",\"PeriodicalId\":178644,\"journal\":{\"name\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2006.364914\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Symposium on Intelligent Signal Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2006.364914","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient Positive Real Balanced Truncation of SISO Systems Via Cross-Riccati Equations
This paper presents a highly efficient approach for performing positive real balanced truncation (PRBT) of single-input single-output (SISO) systems. The solution of two dual algebraic Riccati equations (AREs), whose high computational cost baffles conventional PRBT, is replaced with the solution of a cross-Riccati equation (CRE). The cross-Riccatian nature of the solution then allows simple construction of the projection matrices in PRBT. Application examples confirm the effectiveness of the proposed PRBT method over conventional schemes