{"title":"基于相似性变换的参数交叉耦合方法","authors":"H J Kadim","doi":"10.1109/AHS.2010.5546234","DOIUrl":null,"url":null,"abstract":"With the purpose of maintaining stability, the identification of acceptable performance - under parameter uncertainty – is considered as a guide to identify unwarranted events or behavioural changes in a system or a process. A similarity transformation-based analytical method to model the interaction between distinct processes is presented. As it considers cross-coupling effects of parameters during the interaction between processes, the method facilitates non-invasive analysis of general behaviour of a system or a process.","PeriodicalId":101655,"journal":{"name":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Similarity transformation-based method for cross-coupling effect of parameters\",\"authors\":\"H J Kadim\",\"doi\":\"10.1109/AHS.2010.5546234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the purpose of maintaining stability, the identification of acceptable performance - under parameter uncertainty – is considered as a guide to identify unwarranted events or behavioural changes in a system or a process. A similarity transformation-based analytical method to model the interaction between distinct processes is presented. As it considers cross-coupling effects of parameters during the interaction between processes, the method facilitates non-invasive analysis of general behaviour of a system or a process.\",\"PeriodicalId\":101655,\"journal\":{\"name\":\"2010 NASA/ESA Conference on Adaptive Hardware and Systems\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 NASA/ESA Conference on Adaptive Hardware and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AHS.2010.5546234\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 NASA/ESA Conference on Adaptive Hardware and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AHS.2010.5546234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Similarity transformation-based method for cross-coupling effect of parameters
With the purpose of maintaining stability, the identification of acceptable performance - under parameter uncertainty – is considered as a guide to identify unwarranted events or behavioural changes in a system or a process. A similarity transformation-based analytical method to model the interaction between distinct processes is presented. As it considers cross-coupling effects of parameters during the interaction between processes, the method facilitates non-invasive analysis of general behaviour of a system or a process.