{"title":"非线性系统的扩展卡尔曼滤波:在废水处理系统中的应用","authors":"Amel Barhoumi, T. Ladhari, F. M'sahli","doi":"10.1109/STA.2014.7086758","DOIUrl":null,"url":null,"abstract":"This paper addresses the estimation of non-measured states in waste water treatment process. Specifically, the extended Kalman filter has been investigated for this class of nonlinear systems. Of particular interest, it is shown that extended Kalman filter can be applied to estimate the states in our system and provide good estimations for the non-measurable states.","PeriodicalId":125957,"journal":{"name":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The extended Kalman filter for nonlinear system: Application to system of waste water treatment\",\"authors\":\"Amel Barhoumi, T. Ladhari, F. M'sahli\",\"doi\":\"10.1109/STA.2014.7086758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper addresses the estimation of non-measured states in waste water treatment process. Specifically, the extended Kalman filter has been investigated for this class of nonlinear systems. Of particular interest, it is shown that extended Kalman filter can be applied to estimate the states in our system and provide good estimations for the non-measurable states.\",\"PeriodicalId\":125957,\"journal\":{\"name\":\"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/STA.2014.7086758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/STA.2014.7086758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The extended Kalman filter for nonlinear system: Application to system of waste water treatment
This paper addresses the estimation of non-measured states in waste water treatment process. Specifically, the extended Kalman filter has been investigated for this class of nonlinear systems. Of particular interest, it is shown that extended Kalman filter can be applied to estimate the states in our system and provide good estimations for the non-measurable states.