{"title":"H∞设置下的简化阶滤波","authors":"Hansil Kim, C. Sims, K. Nagpal","doi":"10.23919/ACC.1992.4792438","DOIUrl":null,"url":null,"abstract":"In this paper we consider the problem of estimation with reduced order filter/observers with an H∞ type performance criterion. For a give n-th order linear system, we give necessary and sufficient conditions for there to exist an \"Unbiased\" (precise definition given in the Definition 2 of the paper) filter of order l ≪ n to estimate l states of the system. When the necessary and sufficient conditions ar met, state space formulae are given for a reduced order filter that achieves the desired performance.","PeriodicalId":297258,"journal":{"name":"1992 American Control Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"19","resultStr":"{\"title\":\"Reduced order filtering in an H∞ setting\",\"authors\":\"Hansil Kim, C. Sims, K. Nagpal\",\"doi\":\"10.23919/ACC.1992.4792438\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider the problem of estimation with reduced order filter/observers with an H∞ type performance criterion. For a give n-th order linear system, we give necessary and sufficient conditions for there to exist an \\\"Unbiased\\\" (precise definition given in the Definition 2 of the paper) filter of order l ≪ n to estimate l states of the system. When the necessary and sufficient conditions ar met, state space formulae are given for a reduced order filter that achieves the desired performance.\",\"PeriodicalId\":297258,\"journal\":{\"name\":\"1992 American Control Conference\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"19\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1992 American Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC.1992.4792438\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1992 American Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC.1992.4792438","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we consider the problem of estimation with reduced order filter/observers with an H∞ type performance criterion. For a give n-th order linear system, we give necessary and sufficient conditions for there to exist an "Unbiased" (precise definition given in the Definition 2 of the paper) filter of order l ≪ n to estimate l states of the system. When the necessary and sufficient conditions ar met, state space formulae are given for a reduced order filter that achieves the desired performance.