{"title":"一类面向块的非线性模型的时延估计","authors":"Asma Atitallah, S. Bedoui, K. Abderrahim","doi":"10.1109/STA.2014.7086764","DOIUrl":null,"url":null,"abstract":"An identification method is described for Wiener time delay systems. It consists in identifying in two-stage the parameters and the time delay: the estimation of the parameters is solved by applying a gradient algorithm and the time delay is identified by using a Variable Regression Estimation technique. Simulation results are presented to illustrate the performance of the proposed method.","PeriodicalId":125957,"journal":{"name":"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Time delay estimation for a class of block-oriented nonlinear models\",\"authors\":\"Asma Atitallah, S. Bedoui, K. Abderrahim\",\"doi\":\"10.1109/STA.2014.7086764\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An identification method is described for Wiener time delay systems. It consists in identifying in two-stage the parameters and the time delay: the estimation of the parameters is solved by applying a gradient algorithm and the time delay is identified by using a Variable Regression Estimation technique. Simulation results are presented to illustrate the performance of the proposed method.\",\"PeriodicalId\":125957,\"journal\":{\"name\":\"2014 15th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"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.2014.7086764\",\"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.2014.7086764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Time delay estimation for a class of block-oriented nonlinear models
An identification method is described for Wiener time delay systems. It consists in identifying in two-stage the parameters and the time delay: the estimation of the parameters is solved by applying a gradient algorithm and the time delay is identified by using a Variable Regression Estimation technique. Simulation results are presented to illustrate the performance of the proposed method.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
