{"title":"基于局部加权学习的未知非线性系统最优调节","authors":"Wenjie Dong, J. Farrell","doi":"10.1109/ISIC.2008.4635938","DOIUrl":null,"url":null,"abstract":"This paper considers the optimal control of unknown nonlinear systems. To deal with the uncertainties in the system, a locally weighted learning observer (LWLO) is proposed. Using the functions approximated within the LWLO, analytic optimal controllers are proposed in the sense of pointwise min-norm. To show effectiveness of the proposed controllers, numerical simulations are presented.","PeriodicalId":342070,"journal":{"name":"2008 IEEE International Symposium on Intelligent Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Optimal Regulation of Unknown Nonlinear Systems Based on Locally Weighted Learning\",\"authors\":\"Wenjie Dong, J. Farrell\",\"doi\":\"10.1109/ISIC.2008.4635938\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper considers the optimal control of unknown nonlinear systems. To deal with the uncertainties in the system, a locally weighted learning observer (LWLO) is proposed. Using the functions approximated within the LWLO, analytic optimal controllers are proposed in the sense of pointwise min-norm. To show effectiveness of the proposed controllers, numerical simulations are presented.\",\"PeriodicalId\":342070,\"journal\":{\"name\":\"2008 IEEE International Symposium on Intelligent Control\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Intelligent Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIC.2008.4635938\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIC.2008.4635938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Regulation of Unknown Nonlinear Systems Based on Locally Weighted Learning
This paper considers the optimal control of unknown nonlinear systems. To deal with the uncertainties in the system, a locally weighted learning observer (LWLO) is proposed. Using the functions approximated within the LWLO, analytic optimal controllers are proposed in the sense of pointwise min-norm. To show effectiveness of the proposed controllers, numerical simulations are presented.
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