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Article: Nonlinear observer design for systems with unknown nonlinearity via B-spline neural network approach

TitleNonlinear observer design for systems with unknown nonlinearity via B-spline neural network approach
Authors
Issue Date2000
Citation
Zidonghua Xuebao/Acta Automatica Sinica, 2000, v. 26 n. 2, p. 199-205 How to Cite?
AbstractA novel approach is proposed for 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 for the know linear part, then a nonlinear compensation term in the nonlinear observer which is estimated by using a deconvolution method is added in the linear observer The B-spline neural network is used to model the obtained compensation term. Three simulation examples are given to show the effectiveness of the proposed approach.
Persistent Identifierhttp://hdl.handle.net/10722/156552
ISSN
2015 SCImago Journal Rankings: 0.472

 

DC FieldValueLanguage
dc.contributor.authorZhang, Hongyueen_HK
dc.contributor.authorJin, Hongen_HK
dc.contributor.authorChan, CWen_HK
dc.contributor.authorCheung, KCen_HK
dc.date.accessioned2012-08-08T08:42:55Z-
dc.date.available2012-08-08T08:42:55Z-
dc.date.issued2000en_HK
dc.identifier.citationZidonghua Xuebao/Acta Automatica Sinica, 2000, v. 26 n. 2, p. 199-205en_HK
dc.identifier.issn0254-4156en_HK
dc.identifier.urihttp://hdl.handle.net/10722/156552-
dc.description.abstractA novel approach is proposed for 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 for the know linear part, then a nonlinear compensation term in the nonlinear observer which is estimated by using a deconvolution method is added in the linear observer The B-spline neural network is used to model the obtained compensation term. Three simulation examples are given to show the effectiveness of the proposed approach.en_HK
dc.languageengen_US
dc.relation.ispartofZidonghua Xuebao/Acta Automatica Sinicaen_HK
dc.titleNonlinear observer design for systems with unknown nonlinearity via B-spline neural network approachen_HK
dc.typeArticleen_HK
dc.identifier.emailChan, CW: mechan@hkucc.hku.hken_HK
dc.identifier.emailCheung, KC: kccheung@hkucc.hku.hken_HK
dc.identifier.authorityChan, CW=rp00088en_HK
dc.identifier.authorityCheung, KC=rp01322en_HK
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0034154898en_HK
dc.identifier.volume26en_HK
dc.identifier.issue2en_HK
dc.identifier.spage199en_HK
dc.identifier.epage205en_HK
dc.publisher.placeChinaen_HK
dc.identifier.scopusauthoridZhang, Hongyue=7409196387en_HK
dc.identifier.scopusauthoridJin, Hong=34770583400en_HK
dc.identifier.scopusauthoridChan, CW=7404814060en_HK
dc.identifier.scopusauthoridCheung, KC=7402406698en_HK

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