{"title":"经典页近似的新方法","authors":"Parvendra Kumar, S. Chaudhary","doi":"10.1109/CONFLUENCE.2017.7943235","DOIUrl":null,"url":null,"abstract":"In this paper, a novel approach of pade approximation has been proposed. Pade approximation is used to convert higher order model into a lower order model. In this reduction a deep analysis gives some new results about pade approximation and its pole placement. Therefore shifting the pole of higher order model, a novel approach has been proposed for the pole placement of reduced order model.","PeriodicalId":6651,"journal":{"name":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","volume":"548 1","pages":"667-670"},"PeriodicalIF":0.0000,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Novel approach in classical pade approximation\",\"authors\":\"Parvendra Kumar, S. Chaudhary\",\"doi\":\"10.1109/CONFLUENCE.2017.7943235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel approach of pade approximation has been proposed. Pade approximation is used to convert higher order model into a lower order model. In this reduction a deep analysis gives some new results about pade approximation and its pole placement. Therefore shifting the pole of higher order model, a novel approach has been proposed for the pole placement of reduced order model.\",\"PeriodicalId\":6651,\"journal\":{\"name\":\"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence\",\"volume\":\"548 1\",\"pages\":\"667-670\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CONFLUENCE.2017.7943235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CONFLUENCE.2017.7943235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, a novel approach of pade approximation has been proposed. Pade approximation is used to convert higher order model into a lower order model. In this reduction a deep analysis gives some new results about pade approximation and its pole placement. Therefore shifting the pole of higher order model, a novel approach has been proposed for the pole placement of reduced order model.