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Article: Design of Bang-bang Controller Based on a Fuzzy-Neuro Approach: Application to a Heating System

TitleDesign of Bang-bang Controller Based on a Fuzzy-Neuro Approach: Application to a Heating System
Authors
KeywordsBang-Bang Controller
Fuzzy-Neural Control
Heating System
Issue Date1998
PublisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0921-0296
Citation
Journal Of Intelligent And Robotic Systems: Theory And Applications, 1998, v. 22 n. 1, p. 51-85 How to Cite?
AbstractA fuzzy-neuro approach for the design of bang-bang controller is presented in this paper. The approach has been used with success for the time optimal bang-bang control of a heating system. The improved bang-bang controller suppresses the oscillations often observed at the output of an on-off controller. A fuzzy system is used for the implementation of the on-off control. An extension of the fuzzy control is provided by an equivalent neural network of the fuzzy system. A test application, that of a house heating with a two-state furnace, is developed and evaluated with standard hysteresis switching, fuzzy control, and fuzzy-neuro control.
Persistent Identifierhttp://hdl.handle.net/10722/155070
ISSN
2015 Impact Factor: 0.932
2015 SCImago Journal Rankings: 0.629
References

 

DC FieldValueLanguage
dc.contributor.authorPang, GKHen_US
dc.contributor.authorMesbah, SAen_US
dc.date.accessioned2012-08-08T08:31:44Z-
dc.date.available2012-08-08T08:31:44Z-
dc.date.issued1998en_US
dc.identifier.citationJournal Of Intelligent And Robotic Systems: Theory And Applications, 1998, v. 22 n. 1, p. 51-85en_US
dc.identifier.issn0921-0296en_US
dc.identifier.urihttp://hdl.handle.net/10722/155070-
dc.description.abstractA fuzzy-neuro approach for the design of bang-bang controller is presented in this paper. The approach has been used with success for the time optimal bang-bang control of a heating system. The improved bang-bang controller suppresses the oscillations often observed at the output of an on-off controller. A fuzzy system is used for the implementation of the on-off control. An extension of the fuzzy control is provided by an equivalent neural network of the fuzzy system. A test application, that of a house heating with a two-state furnace, is developed and evaluated with standard hysteresis switching, fuzzy control, and fuzzy-neuro control.en_US
dc.languageengen_US
dc.publisherSpringer Verlag Dordrecht. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0921-0296en_US
dc.relation.ispartofJournal of Intelligent and Robotic Systems: Theory and Applicationsen_US
dc.subjectBang-Bang Controlleren_US
dc.subjectFuzzy-Neural Controlen_US
dc.subjectHeating Systemen_US
dc.titleDesign of Bang-bang Controller Based on a Fuzzy-Neuro Approach: Application to a Heating Systemen_US
dc.typeArticleen_US
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_US
dc.identifier.authorityPang, GKH=rp00162en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0032069332en_US
dc.identifier.hkuros34885-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032069332&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume22en_US
dc.identifier.issue1en_US
dc.identifier.spage51en_US
dc.identifier.epage85en_US
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridPang, GKH=7103393283en_US
dc.identifier.scopusauthoridMesbah, SA=6603193252en_US

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