dc.contributor.author | Αλεξανδρίδης, Αλέξανδρος Π. | el |
dc.contributor.author | Σαρίμβεης, Χαράλαμπος Κ. | el |
dc.contributor.author | Μπάφας, Γιώργος Β. | el |
dc.date.accessioned | 2015-06-04T14:32:35Z | |
dc.date.issued | 2015-06-04 | |
dc.identifier.uri | http://hdl.handle.net/11400/15070 | |
dc.rights | Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | * |
dc.source | http://www.elsevier.com/ | en |
dc.subject | Model Predictive Control | |
dc.subject | Radial Basis Function | |
dc.subject | digester | |
dc.subject | αποδομητής | |
dc.subject | Μοντέλο πρόβλεψης ελέγχου | |
dc.subject | Βάση ακτινικής συνάρτησης | |
dc.title | Adaptive control of continuous pulp digesters based on radial basis function neural network models | en |
heal.type | journalArticle | |
heal.classification | Technology | |
heal.classification | Electrical engineering | |
heal.classification | Τεχνολογία | |
heal.classification | Ηλεκτρολογία Μηχανολογία | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh85133147 | |
heal.classificationURI | http://zbw.eu/stw/descriptor/18426-4 | |
heal.classificationURI | **N/A**-Τεχνολογία | |
heal.classificationURI | **N/A**-Ηλεκτρολογία Μηχανολογία | |
heal.identifier.secondary | DOI: 10.1016/S1570-7946(03)80247-X | |
heal.dateAvailable | 10000-01-01 | |
heal.language | en | |
heal.access | forever | |
heal.publicationDate | 2003 | |
heal.bibliographicCitation | ALEXANDRIDIS, A.P., SARIMVEIS, H.K. & BAFAS, G.V. (2003). Adaptive control of continuous pulp digesters based on radial basis function neural network models. Computer Aided Chemical Engineering. [online] 14 (C). p. 995-1000. Available from: http://www.elsevier.com/[Accessed 05/05/2007] | en |
heal.abstract | In this paper, an adaptive nonlinear Model Predictive Control (MPC) configuration is proposed, where the model used for predicting the future behavior of the process is a discrete dynamic Radial Basis Function (RBF) network. The innovative fuzzy clustering algorithm allows the continuous and easy adaptation of the model, thus making it suitable for controlling time-varying processes, such as the continuous pulp digester. | en |
heal.publisher | Elsevier | en |
heal.journalName | Computer Aided Chemical Engineering | en |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | false |
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