{"title":"使用延迟测量的无限维观测器设计","authors":"Y. Orlov","doi":"10.1109/CDC45484.2021.9682896","DOIUrl":null,"url":null,"abstract":"An asymptotic observer for a linear system, evolving in a Hilbert space, is designed over linear state measurements with time-varying delays. The proposed predictor-based approach reduces the problem to the standard one with non-delayed information on the state, thereby being invariant to the dimensionality of the underlying system. Capabilities of the resulting observer design are illustrated for the linearized Kuramoto-Sivashinsky PDE with periodic boundary conditions and with delayed finite-dimensional measurements.","PeriodicalId":229089,"journal":{"name":"2021 60th IEEE Conference on Decision and Control (CDC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Observer Design in Infinite-dimensional Setting Using Delayed Measurements\",\"authors\":\"Y. Orlov\",\"doi\":\"10.1109/CDC45484.2021.9682896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An asymptotic observer for a linear system, evolving in a Hilbert space, is designed over linear state measurements with time-varying delays. The proposed predictor-based approach reduces the problem to the standard one with non-delayed information on the state, thereby being invariant to the dimensionality of the underlying system. Capabilities of the resulting observer design are illustrated for the linearized Kuramoto-Sivashinsky PDE with periodic boundary conditions and with delayed finite-dimensional measurements.\",\"PeriodicalId\":229089,\"journal\":{\"name\":\"2021 60th IEEE Conference on Decision and Control (CDC)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 60th IEEE Conference on Decision and Control (CDC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC45484.2021.9682896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 60th IEEE Conference on Decision and Control (CDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC45484.2021.9682896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Observer Design in Infinite-dimensional Setting Using Delayed Measurements
An asymptotic observer for a linear system, evolving in a Hilbert space, is designed over linear state measurements with time-varying delays. The proposed predictor-based approach reduces the problem to the standard one with non-delayed information on the state, thereby being invariant to the dimensionality of the underlying system. Capabilities of the resulting observer design are illustrated for the linearized Kuramoto-Sivashinsky PDE with periodic boundary conditions and with delayed finite-dimensional measurements.