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Conference Paper: Nonlinear observer design with unknown nonlinearity via B-spline network approach

TitleNonlinear observer design with unknown nonlinearity via B-spline network approach
Authors
KeywordsNonlinear system
Observer
Neural network
Issue Date1998
PublisherIEEE.
Citation
The 1998 American Control Conference, Philadelphia, PA., 24-26 June 1998. In Conference Proceedings, 1998, v. 4, p. 2339-2343 How to Cite?
AbstractA 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.
Persistent Identifierhttp://hdl.handle.net/10722/46638
ISBN

 

DC FieldValueLanguage
dc.contributor.authorZhang, HYen_HK
dc.contributor.authorChan, CW-
dc.contributor.authorCheung, KCen_HK
dc.contributor.authorJin, Hen_HK
dc.date.accessioned2007-10-30T06:54:48Z-
dc.date.available2007-10-30T06:54:48Z-
dc.date.issued1998en_HK
dc.identifier.citationThe 1998 American Control Conference, Philadelphia, PA., 24-26 June 1998. In Conference Proceedings, 1998, v. 4, p. 2339-2343en_HK
dc.identifier.isbn0-7803-4530-4en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46638-
dc.description.abstractA 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.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofAmerican Control Conference Proceedings-
dc.rights©1998 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectNonlinear systemen_HK
dc.subjectObserveren_HK
dc.subjectNeural networken_HK
dc.titleNonlinear observer design with unknown nonlinearity via B-spline network approachen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0-7803-4530-4&volume=4&spage=2339&epage=2343&date=1998&atitle=Nonlinear+observer+design+with+unknown+nonlinearity+via+B-spline+network+approachen_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ACC.1998.703049en_HK
dc.identifier.hkuros31909-

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