{"title":"具有不确定外系统的离散线性系统的自适应输出调节","authors":"Tao Liu, Jie Huang","doi":"10.23919/ACC53348.2022.9867389","DOIUrl":null,"url":null,"abstract":"This paper studies the output regulation problem for discrete-time linear systems subject to an uncertain exosystem. The design involves two online estimation algorithms. The first one is to estimate the unknown parameters of the exosystem, and the second one is to estimate the solution to the regulator equations based on the estimated system matrix of the exosystem. Combining these two algorithms gives rise to an iterative solution that converges exponentially to some exact solution to the regulator equations. Finally, by integrating these two algorithms with the feedforward control approach, both dynamic state feedback and dynamic output feedback control laws are synthesized to solve the problem.","PeriodicalId":366299,"journal":{"name":"2022 American Control Conference (ACC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Adaptive Output Regulation for Discrete-time Linear Systems with an Uncertain Exosystem\",\"authors\":\"Tao Liu, Jie Huang\",\"doi\":\"10.23919/ACC53348.2022.9867389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the output regulation problem for discrete-time linear systems subject to an uncertain exosystem. The design involves two online estimation algorithms. The first one is to estimate the unknown parameters of the exosystem, and the second one is to estimate the solution to the regulator equations based on the estimated system matrix of the exosystem. Combining these two algorithms gives rise to an iterative solution that converges exponentially to some exact solution to the regulator equations. Finally, by integrating these two algorithms with the feedforward control approach, both dynamic state feedback and dynamic output feedback control laws are synthesized to solve the problem.\",\"PeriodicalId\":366299,\"journal\":{\"name\":\"2022 American Control Conference (ACC)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 American Control Conference (ACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/ACC53348.2022.9867389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 American Control Conference (ACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/ACC53348.2022.9867389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Output Regulation for Discrete-time Linear Systems with an Uncertain Exosystem
This paper studies the output regulation problem for discrete-time linear systems subject to an uncertain exosystem. The design involves two online estimation algorithms. The first one is to estimate the unknown parameters of the exosystem, and the second one is to estimate the solution to the regulator equations based on the estimated system matrix of the exosystem. Combining these two algorithms gives rise to an iterative solution that converges exponentially to some exact solution to the regulator equations. Finally, by integrating these two algorithms with the feedforward control approach, both dynamic state feedback and dynamic output feedback control laws are synthesized to solve the problem.