{"title":"存在有界扰动时Hammerstein模型的辨识","authors":"M. Boutayeb, M. Darouach","doi":"10.1109/ICIT.2000.854234","DOIUrl":null,"url":null,"abstract":"In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.","PeriodicalId":405648,"journal":{"name":"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Identification of the Hammerstein model in the presence of bounded disturbances\",\"authors\":\"M. Boutayeb, M. Darouach\",\"doi\":\"10.1109/ICIT.2000.854234\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.\",\"PeriodicalId\":405648,\"journal\":{\"name\":\"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-01-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIT.2000.854234\",\"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 of IEEE International Conference on Industrial Technology 2000 (IEEE Cat. No.00TH8482)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2000.854234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of the Hammerstein model in the presence of bounded disturbances
In this paper we propose a simple and useful method for recursive identification of multi-input single-output (MISO) Hammerstein model in the presence of unknown but bounded disturbances. The proposed algorithm is performed so that the estimated parameters are consistent with the measurements and the noise constraints. Sufficient conditions for asymptotic convergence are established by the aid of the Lyapunov approach.
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