{"title":"Volterra级数展开的参数收敛界和参数收敛裕度的计算","authors":"Zhenlong Xiao, X. Jing, Li Cheng","doi":"10.1109/ASCC.2013.6606144","DOIUrl":null,"url":null,"abstract":"In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.","PeriodicalId":6304,"journal":{"name":"2013 9th Asian Control Conference (ASCC)","volume":"26 11","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Computation of Parametric Convergence Bound and Parametric Convergence Margin for Volterra series expansion\",\"authors\":\"Zhenlong Xiao, X. Jing, Li Cheng\",\"doi\":\"10.1109/ASCC.2013.6606144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.\",\"PeriodicalId\":6304,\"journal\":{\"name\":\"2013 9th Asian Control Conference (ASCC)\",\"volume\":\"26 11\",\"pages\":\"1-5\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 9th Asian Control Conference (ASCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASCC.2013.6606144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th Asian Control Conference (ASCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASCC.2013.6606144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computation of Parametric Convergence Bound and Parametric Convergence Margin for Volterra series expansion
In this paper, the concepts of Parametric Bound of Convergence (PBoC) and Parametric Convergence Margin (PCM) are proposed, The estimation of PBoC and PCM are presented explicitly in terms of the characteristic parameters, which do not require any recursive computation. An example is given to illustrate and validate the presented results.