Pusher reheating furnace control: a fuzzy-neural model predictive strategy

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dc.contributor.authorIcev, Zhivko A.
dc.contributor.authorStankovski, Mile J.
dc.contributor.authorKolemisevska-Gugulovska, Tatjana D.
dc.contributor.authorZhao, Juanping
dc.contributor.authorDimirovski, Georgi M.
dc.date.accessioned2015-09-16T11:33:32Z
dc.date.available2015-09-16T11:33:32Z
dc.date.issued2006
dc.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.descriptionDimirovski, Georgi M. (Dogus Author) -- Conference full title: Preprints of the IFAC Workshop Energy Saving Control in Plants and Buildings, 3 - 5 October 2006, Bansko, Bulgariaen_US
dc.description.abstractA design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Takagi-Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.en_US
dc.description.sponsorshipIFAC International Federation of Automatic Control (IFAC), IFAC Technical Committee on Cost Oriented Automation COA (TC 4.4), Fed. Sci. Tech. Unions Bulgaria (FNTS), Union of Automation and Informatics (UAI),Inf. Commun. Technol. Dev. Agency, MTCen_US
dc.identifier.citationIcev, Z. A., Stankovski, M. J., Kolemisevska-Gugulovska, T. D., Zhao, J., and Dimirovski, G. M. (2006). Pusher reheating furnace control: A fuzzy-neural model predictive strategy. In Erbe, H. H., Nikolov, E. K. (Eds.). International IFAC Workshop on Energy Saving Control in Plants and Buildings, Volume 1, Part 1, (pp. 165-170), Red Hook, NY: Curran. https://dx.doi.org/10.3182/20061002-4-BG-4905.00028en_US
dc.identifier.doi10.3182/20061002-4-BG-4905.00028
dc.identifier.endpage170en_US
dc.identifier.isbn9783902661197
dc.identifier.issn1474-6670
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-80051496473en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage165en_US
dc.identifier.urihttps://dx.doi.org/10.3182/20061002-4-BG-4905.00028
dc.identifier.urihttps://hdl.handle.net/11376/2098
dc.identifier.volume1en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDimirovski, Georgi M.
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofInternational IFAC Workshop on Energy Saving Control in Plants and Buildingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFuzzy Model Predictive Controlen_US
dc.subjectFuzzy-Neural Modelsen_US
dc.subjectOptimizationen_US
dc.subjectSetpoint Controlen_US
dc.subjectTime-Delay Processesen_US
dc.titlePusher reheating furnace control: a fuzzy-neural model predictive strategyen_US
dc.typeConference Objecten_US

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