{"title":"一个用于实时数据采集、系统识别和多变量过程控制的软件平台","authors":"G. Florea, C. Lupu","doi":"10.1109/IcConSCS.2013.6632024","DOIUrl":null,"url":null,"abstract":"This paper presents high automated control solutions implemented on a unique software platform designed for real-time data acquisition, system identification and control. In the same time a comparison study between pole placement method and LQG optimal control for a MIMO industrial process will be presented. A special module for data process, developed for robust Matlab algorithms integration, is included and described on the following chapters.","PeriodicalId":265358,"journal":{"name":"2nd International Conference on Systems and Computer Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A software platform for real time data acquisition, system identification and control of a multivariable process\",\"authors\":\"G. Florea, C. Lupu\",\"doi\":\"10.1109/IcConSCS.2013.6632024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents high automated control solutions implemented on a unique software platform designed for real-time data acquisition, system identification and control. In the same time a comparison study between pole placement method and LQG optimal control for a MIMO industrial process will be presented. A special module for data process, developed for robust Matlab algorithms integration, is included and described on the following chapters.\",\"PeriodicalId\":265358,\"journal\":{\"name\":\"2nd International Conference on Systems and Computer Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2nd International Conference on Systems and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IcConSCS.2013.6632024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2nd International Conference on Systems and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IcConSCS.2013.6632024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A software platform for real time data acquisition, system identification and control of a multivariable process
This paper presents high automated control solutions implemented on a unique software platform designed for real-time data acquisition, system identification and control. In the same time a comparison study between pole placement method and LQG optimal control for a MIMO industrial process will be presented. A special module for data process, developed for robust Matlab algorithms integration, is included and described on the following chapters.
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