{"title":"基于b样条网络的未知非线性非线性观测器设计","authors":"H. Zhang, C. Chan, K. Cheung, H. Jin","doi":"10.1109/ACC.1998.703049","DOIUrl":null,"url":null,"abstract":"A novel approach is proposed to the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed then a nonlinear compensation term in the nonlinear observer is determined using the proposed \"deconvolution method\". The B-spline neural network is used to model the estimated compensation term. Three simulation examples are given to compare the effectiveness of the proposed approach and some analytical approaches.","PeriodicalId":364267,"journal":{"name":"Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)","volume":"769 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Nonlinear observer design with unknown nonlinearity via B-spline network approach\",\"authors\":\"H. Zhang, C. Chan, K. Cheung, H. Jin\",\"doi\":\"10.1109/ACC.1998.703049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel approach is proposed to the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed then a nonlinear compensation term in the nonlinear observer is determined using the proposed \\\"deconvolution method\\\". The B-spline neural network is used to model the estimated compensation term. Three simulation examples are given to compare the effectiveness of the proposed approach and some analytical approaches.\",\"PeriodicalId\":364267,\"journal\":{\"name\":\"Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)\",\"volume\":\"769 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-06-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACC.1998.703049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACC.1998.703049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Nonlinear observer design with unknown nonlinearity via B-spline network approach
A novel approach is proposed to the state estimation of a class of nonlinear systems which consist of known linear part and unknown nonlinear part. A linear observer is first designed then a nonlinear compensation term in the nonlinear observer is determined using the proposed "deconvolution method". The B-spline neural network is used to model the estimated compensation term. Three simulation examples are given to compare the effectiveness of the proposed approach and some analytical approaches.