Hamid Imtiaz Toor, M. Imran, A. Ghafoor, M. Zeeshan, Abdul Rauf
{"title":"改进的频率限制模型减少","authors":"Hamid Imtiaz Toor, M. Imran, A. Ghafoor, M. Zeeshan, Abdul Rauf","doi":"10.1109/SPC.2018.8703981","DOIUrl":null,"url":null,"abstract":"Three techniques of model reduction of frequency limited Gramians based systems are being presented. The proposed techniques utilize mathematical treatment to preserve the stability of reduced order models of original systems and yield relatively less approximation error with respect to existing stability preserving techniques. Comparison with reduced-order model obtained from several existing techniques reveals the efficacy of proposed techniques.","PeriodicalId":432464,"journal":{"name":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Improved Frequency Limited Model Reduction\",\"authors\":\"Hamid Imtiaz Toor, M. Imran, A. Ghafoor, M. Zeeshan, Abdul Rauf\",\"doi\":\"10.1109/SPC.2018.8703981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Three techniques of model reduction of frequency limited Gramians based systems are being presented. The proposed techniques utilize mathematical treatment to preserve the stability of reduced order models of original systems and yield relatively less approximation error with respect to existing stability preserving techniques. Comparison with reduced-order model obtained from several existing techniques reveals the efficacy of proposed techniques.\",\"PeriodicalId\":432464,\"journal\":{\"name\":\"2018 IEEE Conference on Systems, Process and Control (ICSPC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Conference on Systems, Process and Control (ICSPC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPC.2018.8703981\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Conference on Systems, Process and Control (ICSPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPC.2018.8703981","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Three techniques of model reduction of frequency limited Gramians based systems are being presented. The proposed techniques utilize mathematical treatment to preserve the stability of reduced order models of original systems and yield relatively less approximation error with respect to existing stability preserving techniques. Comparison with reduced-order model obtained from several existing techniques reveals the efficacy of proposed techniques.
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