{"title":"一种解释多变量系统中性能相互作用的新方法","authors":"W. Feng, M. Grimble","doi":"10.23919/ACC.1989.4790385","DOIUrl":null,"url":null,"abstract":"Some new results in linear multivariable systems interaction analysis are reported in this paper. Using a newly proposed performance interaction measure which can be applied to the transient state as well as to the steady state, a systematic procedure to reduce interaction is presented which efffectively improves closed-loop performance and at the same time adjusts system stability robustness. The analysis and design procedure is based on the matrix singular value decomposition and the polar decomposition of a transfer-function matrix.","PeriodicalId":383719,"journal":{"name":"1989 American Control Conference","volume":"105 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A New Procedure to Account for Performance Interaction in Multivariable Systems\",\"authors\":\"W. Feng, M. Grimble\",\"doi\":\"10.23919/ACC.1989.4790385\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Some new results in linear multivariable systems interaction analysis are reported in this paper. Using a newly proposed performance interaction measure which can be applied to the transient state as well as to the steady state, a systematic procedure to reduce interaction is presented which efffectively improves closed-loop performance and at the same time adjusts system stability robustness. The analysis and design procedure is based on the matrix singular value decomposition and the polar decomposition of a transfer-function matrix.\",\"PeriodicalId\":383719,\"journal\":{\"name\":\"1989 American Control Conference\",\"volume\":\"105 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1989 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1989.4790385\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1989 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1989.4790385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A New Procedure to Account for Performance Interaction in Multivariable Systems
Some new results in linear multivariable systems interaction analysis are reported in this paper. Using a newly proposed performance interaction measure which can be applied to the transient state as well as to the steady state, a systematic procedure to reduce interaction is presented which efffectively improves closed-loop performance and at the same time adjusts system stability robustness. The analysis and design procedure is based on the matrix singular value decomposition and the polar decomposition of a transfer-function matrix.