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Conference Paper: Neuro-fuzzy network based adaptive integrating control

TitleNeuro-fuzzy network based adaptive integrating control
Authors
Chan, CWLiu, XJLara-Rosano, F
KeywordsSelf-tuning control
neural networks
fuzzy control
nonlinear control
Issue Date2002
PublisherElsevier Ltd.
Citation
The 15th IFAC World Congress, 2002. In IFAC Proceedings Volumes, 2002, v. 35 n. 1, p. 313-318 How to Cite?
DOI: http://dx.doi.org/10.3182/20020721-6-ES-1901.00705
AbstractA self-tuning neurofuzzy integrating controller is derived in this paper for offset eliminating purpose. CARIMA plant model is used and the control law produces integral control terms in a natural way. Neurofuzzy networks are chosen to implement the direct self-tuning nonlinear integrating controller. The performance of the self-tuning integrating neurofuzzy controller is illustrated by examples involving both linear and nonlinear systems.
Persistent Identifierhttp://hdl.handle.net/10722/100730

 

DC FieldValueLanguage
dc.contributor.authorChan, CWen_HK
dc.contributor.authorLiu, XJen_HK
dc.contributor.authorLara-Rosano, Fen_HK
dc.date.accessioned2010-09-25T19:21:21Z-
dc.date.available2010-09-25T19:21:21Z-
dc.date.issued2002en_HK
dc.identifier.citationThe 15th IFAC World Congress, 2002. In IFAC Proceedings Volumes, 2002, v. 35 n. 1, p. 313-318-
dc.identifier.urihttp://hdl.handle.net/10722/100730-
dc.description.abstractA self-tuning neurofuzzy integrating controller is derived in this paper for offset eliminating purpose. CARIMA plant model is used and the control law produces integral control terms in a natural way. Neurofuzzy networks are chosen to implement the direct self-tuning nonlinear integrating controller. The performance of the self-tuning integrating neurofuzzy controller is illustrated by examples involving both linear and nonlinear systems.-
dc.languageengen_HK
dc.publisherElsevier Ltd.-
dc.relation.ispartofIFAC Proceedings Volumesen_HK
dc.subjectSelf-tuning control-
dc.subjectneural networks-
dc.subjectfuzzy control-
dc.subjectnonlinear control-
dc.titleNeuro-fuzzy network based adaptive integrating controlen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailChan, CW: mechan@hkucc.hku.hken_HK
dc.identifier.authorityChan, CW=rp00088en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.3182/20020721-6-ES-1901.00705-
dc.identifier.scopuseid_2-s2.0-84945582417-
dc.identifier.hkuros79451en_HK

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