{"title":"生物反应器过程变量的多速率估计与监测","authors":"R. Gudi, I.R. Gray, S. Shah","doi":"10.1109/CCA.1993.348243","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of simultaneous state and parameter estimation for a bioprocess. It proposes a formal approach to incorporate multiple rates of sampling, that typically exist in a bioprocess, so that estimation is done using all of and the most up to-date measurements. The software sensor that results from the above approach is validated using experimental data from fed-batch fermentation of Streptomyces Clavuligerus.<<ETX>>","PeriodicalId":276779,"journal":{"name":"Proceedings of IEEE International Conference on Control and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Multi-rate estimation and monitoring of process variables in a bioreactor\",\"authors\":\"R. Gudi, I.R. Gray, S. Shah\",\"doi\":\"10.1109/CCA.1993.348243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the problem of simultaneous state and parameter estimation for a bioprocess. It proposes a formal approach to incorporate multiple rates of sampling, that typically exist in a bioprocess, so that estimation is done using all of and the most up to-date measurements. The software sensor that results from the above approach is validated using experimental data from fed-batch fermentation of Streptomyces Clavuligerus.<<ETX>>\",\"PeriodicalId\":276779,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Control and Applications\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Control and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCA.1993.348243\",\"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 IEEE International Conference on Control and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCA.1993.348243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multi-rate estimation and monitoring of process variables in a bioreactor
This paper addresses the problem of simultaneous state and parameter estimation for a bioprocess. It proposes a formal approach to incorporate multiple rates of sampling, that typically exist in a bioprocess, so that estimation is done using all of and the most up to-date measurements. The software sensor that results from the above approach is validated using experimental data from fed-batch fermentation of Streptomyces Clavuligerus.<>