{"title":"动态系统的识别:系统方法","authors":"Hai-An Zhu, J. Hung","doi":"10.1109/IECON.1990.149124","DOIUrl":null,"url":null,"abstract":"A systematic procedure of parameter estimation for dynamic systems is presented as a basic approach for system modeling and control. With this approach, parameters of linear discrete- and/or continuous-time, multivariable dynamic systems can be estimated. The proposed technique has advantages over most of the existing techniques, such as flexibility, computational simplicity, and straightforwardness. On the basis of this concept as well as the derived algorithms, some new algorithms of system identification can be derived. Identification practice has demonstrated that the proposed approach gives good results.<<ETX>>","PeriodicalId":253424,"journal":{"name":"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1990-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Indentification of dynamic systems: a systematic approach\",\"authors\":\"Hai-An Zhu, J. Hung\",\"doi\":\"10.1109/IECON.1990.149124\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A systematic procedure of parameter estimation for dynamic systems is presented as a basic approach for system modeling and control. With this approach, parameters of linear discrete- and/or continuous-time, multivariable dynamic systems can be estimated. The proposed technique has advantages over most of the existing techniques, such as flexibility, computational simplicity, and straightforwardness. On the basis of this concept as well as the derived algorithms, some new algorithms of system identification can be derived. Identification practice has demonstrated that the proposed approach gives good results.<<ETX>>\",\"PeriodicalId\":253424,\"journal\":{\"name\":\"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1990-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[Proceedings] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IECON.1990.149124\",\"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] IECON '90: 16th Annual Conference of IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.1990.149124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Indentification of dynamic systems: a systematic approach
A systematic procedure of parameter estimation for dynamic systems is presented as a basic approach for system modeling and control. With this approach, parameters of linear discrete- and/or continuous-time, multivariable dynamic systems can be estimated. The proposed technique has advantages over most of the existing techniques, such as flexibility, computational simplicity, and straightforwardness. On the basis of this concept as well as the derived algorithms, some new algorithms of system identification can be derived. Identification practice has demonstrated that the proposed approach gives good results.<>