V. Muresan, M. Abrudean, M. Ungureșan, I. Clitan, T. Colosi
{"title":"18O同位素分离过程的模拟","authors":"V. Muresan, M. Abrudean, M. Ungureșan, I. Clitan, T. Colosi","doi":"10.1109/AQTR.2016.7501388","DOIUrl":null,"url":null,"abstract":"In this paper, some solutions for the 18O isotope separation process identification are proposed. In this context, both integer-order and fractional-order models are comparatively tested. Using the mean square error as quality indicator, the model considered as the identification problem solution is determined. Some interesting simulations are presented in the end of the paper, which prove both the determined model validity and generality at the input signal variation.","PeriodicalId":110627,"journal":{"name":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","volume":"362 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling of the 18O isotope separation process\",\"authors\":\"V. Muresan, M. Abrudean, M. Ungureșan, I. Clitan, T. Colosi\",\"doi\":\"10.1109/AQTR.2016.7501388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, some solutions for the 18O isotope separation process identification are proposed. In this context, both integer-order and fractional-order models are comparatively tested. Using the mean square error as quality indicator, the model considered as the identification problem solution is determined. Some interesting simulations are presented in the end of the paper, which prove both the determined model validity and generality at the input signal variation.\",\"PeriodicalId\":110627,\"journal\":{\"name\":\"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)\",\"volume\":\"362 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AQTR.2016.7501388\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AQTR.2016.7501388","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, some solutions for the 18O isotope separation process identification are proposed. In this context, both integer-order and fractional-order models are comparatively tested. Using the mean square error as quality indicator, the model considered as the identification problem solution is determined. Some interesting simulations are presented in the end of the paper, which prove both the determined model validity and generality at the input signal variation.