{"title":"基于知识的过程控制","authors":"N. Rakoto-Ravalontsalama","doi":"10.1109/ISIC.1999.796661","DOIUrl":null,"url":null,"abstract":"A methodology for modeling and simulating a continuous process is presented. This is done by using a knowledge based approach. This approach is not only based on production rules but include also the mathematical model of the process. The results are compared to those from some classical continuous system simulators. The advantage of the use of the knowledge based system is that a reasoning level is available for the intelligent control task.","PeriodicalId":300130,"journal":{"name":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Knowledge based process control\",\"authors\":\"N. Rakoto-Ravalontsalama\",\"doi\":\"10.1109/ISIC.1999.796661\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A methodology for modeling and simulating a continuous process is presented. This is done by using a knowledge based approach. This approach is not only based on production rules but include also the mathematical model of the process. The results are compared to those from some classical continuous system simulators. The advantage of the use of the knowledge based system is that a reasoning level is available for the intelligent control task.\",\"PeriodicalId\":300130,\"journal\":{\"name\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.1999.796661\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE International Symposium on Intelligent Control Intelligent Systems and Semiotics (Cat. No.99CH37014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.1999.796661","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A methodology for modeling and simulating a continuous process is presented. This is done by using a knowledge based approach. This approach is not only based on production rules but include also the mathematical model of the process. The results are compared to those from some classical continuous system simulators. The advantage of the use of the knowledge based system is that a reasoning level is available for the intelligent control task.
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