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Conference Paper: Model-reference adaptive control using associate memory network

TitleModel-reference adaptive control using associate memory network
Authors
Keywordsmodel-reference adaptive control
neural networks
fuzzy control
nonlinear
Issue Date2002
PublisherElsevier Ltd.
Citation
The 15th IFAC World Congress, 2002. In IFAC Proceedings Volumes, 2002, v. 35 n. 1, p. 307-312 How to Cite?
AbstractModel-reference adaptive control with neurofuzzy methodology is derived in this paper. Associate memory network(AMN) is investigated in detail to be the possible implementation as the direct self-tuning nonlinear controller. The essence of the neurofuzzy controller has been discussed and the local stability of the system is reached. The performance of the model-reference adaptive neurofuzzy controller is illustrated by examples involving both linear and nonlinear systems.
Persistent Identifierhttp://hdl.handle.net/10722/100722

 

DC FieldValueLanguage
dc.contributor.authorLiu, XJen_HK
dc.contributor.authorLara-Rosano, Fen_HK
dc.contributor.authorChan, CWen_HK
dc.date.accessioned2010-09-25T19:21:02Z-
dc.date.available2010-09-25T19:21:02Z-
dc.date.issued2002en_HK
dc.identifier.citationThe 15th IFAC World Congress, 2002. In IFAC Proceedings Volumes, 2002, v. 35 n. 1, p. 307-312-
dc.identifier.urihttp://hdl.handle.net/10722/100722-
dc.description.abstractModel-reference adaptive control with neurofuzzy methodology is derived in this paper. Associate memory network(AMN) is investigated in detail to be the possible implementation as the direct self-tuning nonlinear controller. The essence of the neurofuzzy controller has been discussed and the local stability of the system is reached. The performance of the model-reference adaptive 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.subjectmodel-reference adaptive control-
dc.subjectneural networks-
dc.subjectfuzzy control-
dc.subjectnonlinear-
dc.titleModel-reference adaptive control using associate memory networken_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-1901.00704-
dc.identifier.hkuros79448en_HK

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