{"title":"时滞系统的同时估计","authors":"Y. Ghoul, K. I. Taarit, M. Ksouri","doi":"10.1109/IC_ASET53395.2022.9765890","DOIUrl":null,"url":null,"abstract":"This research proposes a gradient technique to identify, jointly, the parameters and the time delays of systems based on sampled data. The initial parameters values can be estimated using another algorithm. The proposed scheme uses a simultaneous procedure with the presence of a white noise. A numerical instance is proposed to confirm the effectiveness of the developed technique.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"4 1","pages":"188-192"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Simultaneous Estimation of Time Delays Systems\",\"authors\":\"Y. Ghoul, K. I. Taarit, M. Ksouri\",\"doi\":\"10.1109/IC_ASET53395.2022.9765890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This research proposes a gradient technique to identify, jointly, the parameters and the time delays of systems based on sampled data. The initial parameters values can be estimated using another algorithm. The proposed scheme uses a simultaneous procedure with the presence of a white noise. A numerical instance is proposed to confirm the effectiveness of the developed technique.\",\"PeriodicalId\":6874,\"journal\":{\"name\":\"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"volume\":\"4 1\",\"pages\":\"188-192\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC_ASET53395.2022.9765890\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET53395.2022.9765890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This research proposes a gradient technique to identify, jointly, the parameters and the time delays of systems based on sampled data. The initial parameters values can be estimated using another algorithm. The proposed scheme uses a simultaneous procedure with the presence of a white noise. A numerical instance is proposed to confirm the effectiveness of the developed technique.
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