{"title":"采样数据非线性观测器的设计观测器误差线性化的替代方法","authors":"C. Kravaris","doi":"10.14355/IJAPE.2014.0301.03","DOIUrl":null,"url":null,"abstract":"This paper has explored alternative design approaches for sampled data nonlinear observers in the context of the observer error linearization design method. After a brief and necessary review of observer error linearization, two alternative time‐discretization approaches were examined, one involving discretization at the beginning, and the other at the end. For the case of large sampling period, a sampled data observer inter‐sample prediction was proposed.","PeriodicalId":270763,"journal":{"name":"International Journal of Automation and Power Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design of Sampled Data Nonlinear Observers Alternative Approaches in the Context of Observer Error Linearization\",\"authors\":\"C. Kravaris\",\"doi\":\"10.14355/IJAPE.2014.0301.03\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper has explored alternative design approaches for sampled data nonlinear observers in the context of the observer error linearization design method. After a brief and necessary review of observer error linearization, two alternative time‐discretization approaches were examined, one involving discretization at the beginning, and the other at the end. For the case of large sampling period, a sampled data observer inter‐sample prediction was proposed.\",\"PeriodicalId\":270763,\"journal\":{\"name\":\"International Journal of Automation and Power Engineering\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Automation and Power Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14355/IJAPE.2014.0301.03\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Automation and Power Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14355/IJAPE.2014.0301.03","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of Sampled Data Nonlinear Observers Alternative Approaches in the Context of Observer Error Linearization
This paper has explored alternative design approaches for sampled data nonlinear observers in the context of the observer error linearization design method. After a brief and necessary review of observer error linearization, two alternative time‐discretization approaches were examined, one involving discretization at the beginning, and the other at the end. For the case of large sampling period, a sampled data observer inter‐sample prediction was proposed.