{"title":"主动识别任务中动态参数估计的迭代过程建模","authors":"G. Troshina, A. Voevoda","doi":"10.1109/SSDSE.2017.8071969","DOIUrl":null,"url":null,"abstract":"The iterative scheme for the dynamic parameters estimation in the conditions of dynamics noises and the measurement noises is offered in this work. It is supposed that there is an opportunity to give the required input signal on an object. In this work the input signal like a meander is used. The dynamic object modeling and recursive least-squares method modeling are executed in the Simulink environment. The dynamic parameters estimation results are given. The offered approach allows to specify object parameters that is actually in engineering practice.","PeriodicalId":216748,"journal":{"name":"2017 Siberian Symposium on Data Science and Engineering (SSDSE)","volume":"172 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The iterative procedure modeling for the dynamic parameters estimation at the active identification task\",\"authors\":\"G. Troshina, A. Voevoda\",\"doi\":\"10.1109/SSDSE.2017.8071969\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The iterative scheme for the dynamic parameters estimation in the conditions of dynamics noises and the measurement noises is offered in this work. It is supposed that there is an opportunity to give the required input signal on an object. In this work the input signal like a meander is used. The dynamic object modeling and recursive least-squares method modeling are executed in the Simulink environment. The dynamic parameters estimation results are given. The offered approach allows to specify object parameters that is actually in engineering practice.\",\"PeriodicalId\":216748,\"journal\":{\"name\":\"2017 Siberian Symposium on Data Science and Engineering (SSDSE)\",\"volume\":\"172 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 Siberian Symposium on Data Science and Engineering (SSDSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSDSE.2017.8071969\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Siberian Symposium on Data Science and Engineering (SSDSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSDSE.2017.8071969","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The iterative procedure modeling for the dynamic parameters estimation at the active identification task
The iterative scheme for the dynamic parameters estimation in the conditions of dynamics noises and the measurement noises is offered in this work. It is supposed that there is an opportunity to give the required input signal on an object. In this work the input signal like a meander is used. The dynamic object modeling and recursive least-squares method modeling are executed in the Simulink environment. The dynamic parameters estimation results are given. The offered approach allows to specify object parameters that is actually in engineering practice.